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GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography

https://doi.org/10.3390/ijgi11070385
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Multilabel classification of remote sensed satellite imagery
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Tracking and Object Classification for Automated Surveillance
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Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
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Arbitrary-Oriented Object Detection with Circular Smooth Label
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Task-Driven Super Resolution: Object Detection in Low-Resolution Images
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Learning a Deep Convolutional Network for Image Super-Resolution
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TECA: Petascale Pattern Recognition for Climate Science
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Deep Learning the City: Quantifying Urban Perception at a Global Scale
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Accelerating the Super-Resolution Convolutional Neural Network
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PlaNet - Photo Geolocation with Convolutional Neural Networks
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Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings
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Learning Depth from Stereo
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Probabilistic Earthquake Location in 3D and Layered Models
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Importance of Remote Sensing and Land Change Modeling for Urbanization Studies
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Detection and Prediction of Land Use and Land Cover Changes Using Deep Learning
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GeoAI and the Future of Spatial Analytics
inferredcites →https://doi.org/10.1007/bf00133570openalex-snapshot
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Support-Vector Networks
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Text categorization with Support Vector Machines: Learning with many relevant features
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Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate
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Forecasting monthly fluctuations of lake surface areas using remote sensing techniques and novel machine learning methods
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Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data
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Wildland Fire Spread Modeling Using Convolutional Neural Networks
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Toward critical spatial thinking in the social sciences and humanities
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Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping
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Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery
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Putting Objects in Perspective
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Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting
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Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?
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Change detection techniques for remote sensing applications: a survey
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Design and implementation of an expert system for updating thematic maps using satellite imagery (case study: changes of Lake Urmia)
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Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
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Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions
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Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach
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D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks
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Horizontal dispersion of floatable particles in the vicinity of velocity singularities such as convergences
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Monitoring land-cover change by principal component analysis of multitemporal landsat data
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The dynamics of enstrophy transfer in two-dimensional hydrodynamics
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Improving resolution by image registration
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Improved resolution from subpixel shifted pictures
inferredcites →https://doi.org/10.1016/b978-0-08-024059-6.50016-4openalex-snapshot
COMPUTER IMAGE CORPORATION
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Eye Tracking in Human-Computer Interaction and Usability Research
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‘Big data’ for pedestrian volume: Exploring the use of Google Street View images for pedestrian counts
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Parameter estimation of fire propagation models using level set methods
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Mapping sky, tree, and building view factors of street canyons in a high-density urban environment
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Modeling wildland fire propagation with level set methods
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Representing place locales using scene elements
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Uncovering inconspicuous places using social media check-ins and street view images
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2021.101715openalex-snapshot
GeoAI in terrain analysis: Enabling multi-source deep learning and data fusion for natural feature detection
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Temporal spatio-velocity transform and its application to tracking and interaction
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The influence of Gulf Stream eddies and meanders on near-surface chlorophyll
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Using urban canyon geometries obtained from Google Street View for atmospheric studies: Potential applications in the calculation of street level total shortwave irradiances
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An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm
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Health impact modelling of different travel patterns on physical activity, air pollution and road injuries for São Paulo, Brazil
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A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)
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Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur’s, Otsu and Tsallis functions
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Structural similarity index (SSIM) revisited: A data-driven approach
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Using Google Earth to conduct a neighborhood audit: Reliability of a virtual audit instrument
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Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection
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Real-world single image super-resolution: A brief review
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Classification of visible and infrared hyperspectral images based on image segmentation and edge-preserving filtering
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Theme issue: “Airborne and spaceborne traffic monitoring”
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A methodology for near real-time change detection between Unmanned Aerial Vehicle and wide area satellite images
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Multi-class geospatial object detection based on a position-sensitive balancing framework for high spatial resolution remote sensing imagery
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Height estimation from single aerial images using a deep convolutional encoder-decoder network
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Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns
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Object detection in optical remote sensing images: A survey and a new benchmark
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Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images
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Development of a precipitation nowcasting algorithm based upon optical flow techniques
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Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models
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Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View
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Measuring human perceptions of a large-scale urban region using machine learning
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Drought forecasting based on the remote sensing data using ARIMA models
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Cascade region proposal and global context for deep object detection
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Graph convolutional network for multi-label VHR remote sensing scene recognition
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Rotation adaptive correlation filter for moving object tracking in satellite videos
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Emulation of wildland fire spread simulation using deep learning
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Remotely sensing in detecting the water depths and bed load of shallow waters and their changes
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Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan Earthquake
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
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Mesoscale eddies off Peru in altimeter records: Identification algorithms and eddy spatio-temporal patterns
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An Improved Cellular Automata for Wildfire Spread
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A Grey Wolf Optimizer Based Automatic Clustering Algorithm for Satellite Image Segmentation
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Refugee Situation Awareness: Camps and Beyond
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Seasonal stability of chlorophyll fluorescence quantified from airborne hyperspectral imagery as an indicator of net photosynthesis in the context of precision agriculture
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Water-related ecosystems' mapping and assessment based on remote sensing techniques and geospatial analysis: The SWOS national service case of the Greek Ramsar sites and their catchments
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The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images
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The effect of extremely low sky view factor on land surface temperatures in urban residential areas
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On the importance of thinking locally for statistics and society
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Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
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Sky View Factor footprints for urban climate modeling
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Automatic video indexing via object motion analysis
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The potential and promise of physics-based wildfire simulation
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Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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Contour and Texture Analysis for Image Segmentation
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A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
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Tracking coherent structures in a regional ocean model with wavelet analysis: Application to Cape Basin eddies
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Global observations of large oceanic eddies
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Evaluation of Four Sky View Factor Algorithms Using Digital Surface and Elevation Model Data
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PhaseLink: A Deep Learning Approach to Seismic Phase Association
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WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
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An End‐To‐End Earthquake Detection Method for Joint Phase Picking and Association Using Deep Learning
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Understanding individual human mobility patterns
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Deep learning
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The quiet revolution of numerical weather prediction
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Imprint of Southern Ocean eddies on winds, clouds and rainfall
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Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking
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Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence
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Deep learning and process understanding for data-driven Earth system science
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High-resolution seismic event detection using local similarity for Large-N arrays
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Optimization of Molecules via Deep Reinforcement Learning
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Economic footprint of California wildfires in 2018
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Raster Analysis of Urban Form
inferredcites →https://doi.org/10.1071/wf06147openalex-snapshot
Efficient simulation of wildfire spread on an irregular grid
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Computer vision uncovers predictors of physical urban change
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Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
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Solving high-dimensional partial differential equations using deep learning
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Deep learning improves prediction of drug–drug and drug–food interactions
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Replication across space and time must be weak in the social and environmental sciences
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Social Sensing: A New Approach to Understanding Our Socioeconomic Environments
inferredcites →https://doi.org/10.1080/01431160010006430openalex-snapshot
ENSO drought onset prediction in northeast Brazil using NDVI
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Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA
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A new change-detection method in high-resolution remote sensing images based on a conditional random field model
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Predicting the spectral information of future land cover using machine learning
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Review Article Digital change detection techniques using remotely-sensed data
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The Evaluative Image of the City
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Predicting default probabilities in emerging markets by new conic generalized partial linear models and their optimization
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The calculation of view factors from fisheye‐lens photographs: Research note
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Semantic segmentation of land cover from high resolution multispectral satellite images by spectral-spatial convolutional neural network
inferredcites →https://doi.org/10.1080/10824000609480624openalex-snapshot
Improved IBP for Super-resolving Remote Sensing Images
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Changes in extreme events and the potential impacts on human health
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Measuring the Unmeasurable: Urban Design Qualities Related to Walkability
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Semantic similarity measurement based on knowledge mining: an artificial neural net approach
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Automated terrain feature identification from remote sensing imagery: a deep learning approach
inferredcites →https://doi.org/10.1080/13658816.2019.1673397openalex-snapshot
Real-time GIS for smart cities
inferredcites →https://doi.org/10.1080/13658816.2019.1684500openalex-snapshot
GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond
inferredcites →https://doi.org/10.1080/13658816.2021.1871618openalex-snapshot
A geographically weighted artificial neural network
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Automated extraction of hydrographically corrected contours for the conterminous United States: the US Geological Survey US Topo product
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A review of urban physical environment sensing using street view imagery in public health studies
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An Interactive platform for low-cost 3D building modeling from VGI data using convolutional neural network
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Change detection based on Faster R-CNN for high-resolution remote sensing images
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CNN-based estimation of pre- and post-earthquake height models from single optical images for identification of collapsed buildings
inferredcites →https://doi.org/10.1080/24694452.2021.1877527openalex-snapshot
Tobler’s First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection under Weak Supervision
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Systematic Social Observation of Public Spaces: A New Look at Disorder in Urban Neighborhoods
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Super-Resolution in Medical Imaging
inferredcites →https://doi.org/10.1093/gji/ggu466openalex-snapshot
An effective method for small event detection: match and locate (M&L)
inferredcites →https://doi.org/10.1093/gji/ggy423openalex-snapshot
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
inferredcites →https://doi.org/10.1093/mnras/stx1665openalex-snapshot
CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding
inferredcites →https://doi.org/10.1109/34.899946openalex-snapshot
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inferredcites →https://doi.org/10.1109/36.7708openalex-snapshot
A statistical and geometrical edge detector for SAR images
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/83.503915openalex-snapshot
Extraction of high-resolution frames from video sequences
inferredcites →https://doi.org/10.1109/83.748893openalex-snapshot
Superresolution restoration of an image sequence: adaptive filtering approach
inferredcites →https://doi.org/10.1109/83.923289openalex-snapshot
Perceptually uniform color spaces for color texture analysis: an empirical evaluation
inferredcites →https://doi.org/10.1109/access.2018.2807380openalex-snapshot
Adaptive Change Detection With Significance Test
inferredcites →https://doi.org/10.1109/access.2019.2917952openalex-snapshot
DenseU-Net-Based Semantic Segmentation of Small Objects in Urban Remote Sensing Images
inferredcites →https://doi.org/10.1109/access.2019.2921315openalex-snapshot
Remote Sensing Target Tracking in UAV Aerial Video Based on Saliency Enhanced MDnet
inferredcites →https://doi.org/10.1109/access.2021.3116380openalex-snapshot
D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation
inferredcites →https://doi.org/10.1109/bigdata.2018.8621865openalex-snapshot
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005568openalex-snapshot
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting
inferredcites →https://doi.org/10.1109/cvpr.1994.323833openalex-snapshot
Overcomplete steerable pyramid filters and rotation invariance
inferredcites →https://doi.org/10.1109/cvpr.2005.16openalex-snapshot
A Bayesian Hierarchical Model for Learning Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2010.5539823openalex-snapshot
Single image depth estimation from predicted semantic labels
inferredcites →https://doi.org/10.1109/cvpr.2014.19openalex-snapshot
Pulling Things out of Perspective
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.618openalex-snapshot
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot
Pyramid Scene Parsing Network
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/cvpr.2018.00266openalex-snapshot
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00442openalex-snapshot
Single-Shot Refinement Neural Network for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00780openalex-snapshot
Learning to Adapt Structured Output Space for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00296openalex-snapshot
Learning RoI Transformer for Oriented Object Detection in Aerial Images
inferredcites →https://doi.org/10.1109/cvpr.2019.00623openalex-snapshot
Multi-Source Weak Supervision for Saliency Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00937openalex-snapshot
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics
inferredcites →https://doi.org/10.1109/cvpr.2019.01193openalex-snapshot
Hyperspectral Image Super-Resolution With Optimized RGB Guidance
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00939openalex-snapshot
Cars Can’t Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01061openalex-snapshot
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01249openalex-snapshot
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00281openalex-snapshot
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
showing the first 200 of 380

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Data-Driven Urban Insights: Enhancing Geospatial Analyses and Applications
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Applications of Deep Learning for European Crop-Type Classification Through Satellite Image Data
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Verfügbarkeit, Qualität und Informationsgehalt von Geodaten für eine Fließweganalyse im Kontext Starkregen im ländlich geprägten Raum
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GeoAI: Exploring Trends and Potential Applications
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Generative artificial intelligence for seismic signal processing and imaging: Current status and future perspectives
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Leveraging Coupled Hydrodynamic with Data-Driven GeoAI Models for Advancing Systemic Compound Flood Risk Evaluation in Coastal Urban Areas
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Artificial Intelligence in Landscape Ecology: Recent Advances, Perspectives, and Opportunities
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Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures
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Evolving Thematic Map Design in Chinese- and English-Language Academic Cartography: A Three-Decade Data-Driven Study
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Geo blockchain intelligence risk assessment for extreme weather prediction in the era of internet of spatial big data computing
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AI-FEED: Prototyping an AI-Powered Platform for the Food Charity Ecosystem
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Human-centered GeoAI foundation models: where GeoAI meets human dynamics
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Geospatial analysis of soil property variability in cyclone-affected areas of southern Malawi
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Artificial intelligence in civil engineering
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Integration of Remote Sensing, Big Data, and GeoAI
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Getting Started in Big Data Remote Sensing
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Web based geospatial artificial intelligence for earth resource management toward climate change adaption
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Trustworthy artificial intelligence for digital agriculture
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Advances in geospatial artificial intelligence for remote sensing applications
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm
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Mapping geography’s engagement with the Sustainable Development Goals: Research foci, contributions, and future directions
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Measuring the spatial explicitness of GeoAI and geospatial foundation models: A systematic review and future roadmap
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An ensemble framework for explainable geospatial machine learning models
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Towards intelligent land administration systems: Research challenges, applications and prospects in AI-driven approaches
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Leveraging multisource data in GeoAI frameworks for urban analysis. Challenges, opportunities, and future directions
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Block-level drought vulnerability zonation using remote sensing and explainable machine learning in lateritic Rarh plateau, Eastern India
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Mass-Balance-Consistent Geological Stock Accounting: A New Approach toward Sustainable Management of Mineral Resources
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Artificial Intelligence in Earth Science: A GeoAI Perspective
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Predicting water quality index using stacked ensemble regression and SHAP based explainable artificial intelligence
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Iterative integration of deep learning in hybrid Earth surface system modelling
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Generative AI in Undergraduate Education: An Early View of Developments, Prospects, and Challenges of the AI Revolution
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A raster-based method for building simplification considering shape and texture features based on remote sensing images
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Assessing Trunk Dimensions of Complex, Large-Diameter Trees Using Mobile LiDAR: A Case Study of Giant Sequoia
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Responsible AI for Cities: A Case Study of GeoAI in African Informal Settlements
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Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection
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Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi’s domain adaptability
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Historical GeoAI: The Promise of Unlocking Analog Spatial Data
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Adopting GPU computing to support DL-based Earth science applications
inferred← citeshttps://doi.org/10.1080/24694452.2024.2373787openalex-snapshot
GeoAI Reproducibility and Replicability: A Computational and Spatial Perspective
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DMSE-YOLO: a directional and multi-scale feature enhancement network for remote sensing images
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StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments
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Development of Geo-Blockchain Framework for Asset Management of Government Domain in India
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Categorization and Interpretation of Satellite Image Scenes Employing AI Approaches
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A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw
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When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review
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Optimizing Search and Rescue Missions Using Artificial Intelligence for Automated Aerial Image Processing and Analysis
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Position-Aware Graph-CNN Fusion Network: An Integrated Approach Combining Geospatial Information and Graph Attention Network for Multiclass Change Detection
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Less Is More: A Lightweight Deep Learning Network for Remote Sensing Imagery Segmentation
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Adapting Video Foundation Models for Spatiotemporal Wildfire Forecasting via Cross-Modal Progressive Fine-Tuning
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Analytic Hierarchy Process in Discomfort Cause Recognition With Geospatial Data Correlation
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Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
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The Impact of Environmental Exposure on the Health of Older Adults: A Review From the GIScience Perspective
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Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
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Towards GeoAI as a Containerized Microservice
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Reimagining standardization and geospatial interoperability in today's GeoAI culture
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Assessment of a new GeoAI foundation model for flood inundation mapping
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Models and modeling in human geography I: Classic or new, uncertainty and tradeoffs remain
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A horizon scan for novel and impactful areas of physical geography research in 2023 and beyond
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Urban AI for a sustainable built environment: Progress and future directions
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Development of GeoAI-based Environmental Policy Establishment Support System : Analysis of The Relationship Between Land Cover and LST in Seoul
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Carbon uptake prediction mapping using GeoXAI (Geospatial eXplainable Artificial Intelligence)
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Space-Air-Ground Integrated Intelligent Monitoring System for Geological Hazards Based on Multi-Source Information Fusion Technology
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The evolving role of geospatial intelligence in enhancing urban security: A review of applications and outcomes
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Optimization of the Activation Function for Predicting Inflation Levels to Increase Accuracy Values
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Obstacles and opportunities for automation in sheep and beef farming
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Global research progress on rural settlement spatial patterns from 2000–2024: a comprehensive review of hotspots, frontiers, and emerging trends
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Mapping the research framework and key trends of coral reefs in the South China Sea
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AI-Based Hybrid Deep Learning for Multiscale Red Tilapia Weight-Range Classification Using UAV Imagery
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Enhancing the Image Pre-Processing for Large Fleets Based on a Fuzzy Approach to Handle Multiple Resolutions
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Novel Deepfake Image Detection with PV-ISM: Patch-Based Vision Transformer for Identifying Synthetic Media
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Advancing Coastal Flood Risk Prediction Utilizing a GeoAI Approach by Considering Mangroves as an Eco-DRR Strategy
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Analysis of YOLOv5 and DeepLabv3+ Algorithms for Detecting Illegal Cultivation on Public Land: A Case Study of a Riverside in Korea
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GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid
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Novel CNN-Based Approach for Reading Urban Form Data in 2D Images: An Application for Predicting Restaurant Location in Seoul, Korea
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Towards AI-Assisted Mapmaking: Assessing the Capabilities of GPT-4o in Cartographic Design
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GeoAI in Topographic Mapping: Navigating the Future of Opportunities and Risks
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Creating Choropleth Maps by Artificial Intelligence—Case Study on ChatGPT-4
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Addressing GeoAI Governance: An Automated Gatekeeper for Building Outlines in OpenStreetMap
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Generative Artificial Intelligence in Geography: Structure and Evolution of an Emerging Field
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GeoAI-Based Land-Use Compliance Monitoring for Land Rights Administration Using Sentinel-2 and Orthophotos
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Innovative Hybrid UAV Design, Development, and Manufacture for Forest Preservation and Acoustic Surveillance
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The SmartLandMaps Approach for Participatory Land Rights Mapping
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GeoAI for Land Use Observations, Analysis, and Forecasting
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A Comparative Analysis of Urban Land Use Sustainability Using a Cloud-Based Decision Support Framework with Rule-Based Spatial Analytics: The Cases of Barcelona and Izmir
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Towards an AI-Ready LADM Framework for GeoAI-Enhanced Land Administration: Semantic Mediation, Uncertainty Representation and Legal Validation
inferred← citeshttps://doi.org/10.3390/min15101023openalex-snapshot
Enhancing Geological Knowledge Engineering with Retrieval-Augmented Generation: A Case Study of the Qin–Hang Metallogenic Belt
inferred← citeshttps://doi.org/10.3390/rs16050797openalex-snapshot
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping
inferred← citeshttps://doi.org/10.3390/rs16203764openalex-snapshot
Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges
inferred← citeshttps://doi.org/10.3390/rs17111856openalex-snapshot
Harnessing Geospatial Artificial Intelligence and Deep Learning for Landslide Inventory Mapping: Advances, Challenges, and Emerging Directions
inferred← citeshttps://doi.org/10.3390/su16135690openalex-snapshot
Optimization Strategy for the Spatiotemporal Layout of E-Bike Charging Piles from the Perspective of Sustainable Campus Planning: A Case Study of Zijingang Campus of Zhejiang University
inferred← citeshttps://doi.org/10.3390/su17073113openalex-snapshot
A Framework for Mapping Urban Spatial Evolution: Quantitative Insights from Historical GIS and Space Syntax in Xi’an
inferred← citeshttps://doi.org/10.3390/su18136838openalex-snapshot
Energy Geographies in the Age of GeoAI: Research Trends, Gaps, and Future Directions
inferred← citeshttps://doi.org/10.3390/vehicles7020045openalex-snapshot
Recent Trends in the Public Acceptance of Autonomous Vehicles: A Review
inferred← citeshttps://doi.org/10.35666/23038950.2025.51.93openalex-snapshot
Application of artificial intelligence in geomorphological surveys
inferred← citeshttps://doi.org/10.4018/978-1-6684-7702-1.ch005openalex-snapshot
AI-Enabled Spatial Intelligence
inferred← citeshttps://doi.org/10.4018/979-8-3373-2597-2.ch010openalex-snapshot
Ethical Imaginaries of Geospatial Artificial Intelligence
inferred← citeshttps://doi.org/10.4018/979-8-3373-4616-8.ch006openalex-snapshot
Geospatial AI Innovations for Effective Biodiversity and Ecosystem Management
inferred← citeshttps://doi.org/10.4018/979-8-3693-8054-3.ch001openalex-snapshot
Geospatial AI Concepts and Fundamentals
inferred← citeshttps://doi.org/10.4018/979-8-3693-8557-9.ch012openalex-snapshot
From Data to Insights
inferred← citeshttps://doi.org/10.4102/apsdpr.v13i1.956openalex-snapshot
Integrating machine vision for road condition assessment: A case of the City of Johannesburg
inferred← citeshttps://doi.org/10.51594/estj.v5i2.826openalex-snapshot
THE EVOLVING ROLE OF GEOSPATIAL INTELLIGENCE IN ENHANCING URBAN SECURITY: A REVIEW OF APPLICATIONS AND OUTCOMES
inferred← citeshttps://doi.org/10.52783/jes.3413openalex-snapshot
Automated Text Recognition and Segmentation for Historic Map Vectorization: A Mask R-CNN and UNet Approach
inferred← citeshttps://doi.org/10.5334/cstp.747openalex-snapshot
GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science
inferred← citeshttps://doi.org/10.53444/deubefd.1836872openalex-snapshot
Topografik Haritaları Yorumlamada Bilişsel Yetkinlik: İnsan ve Yapay Zekâ Karşılaştırması
inferred← citeshttps://doi.org/10.58606/jwgdp.1658552openalex-snapshot
Coğrafya Biliminde Yapay Zekânın Kullanım Alanları Üzerine Yapılan Çalışmaların Bibliyometrik Analizi
inferred← citeshttps://doi.org/10.5937/kongef24057sopenalex-snapshot
Artificial intelligence in geography: Pros or cons?
inferred← citeshttps://doi.org/10.5937/pnzpzs25143kopenalex-snapshot
Use of health information systems and artificial intelligence for environmental and public health protection
inferred← citeshttps://doi.org/10.61194/education.v1i2.71openalex-snapshot
Integration of Artificial Intelligence in Geography Learning: Challenges and Opportunities
inferred← citeshttps://doi.org/10.62486/latia202577openalex-snapshot
The Current Landscape of Early Warning Systems and Traditional Approaches to Disaster Detection
inferred← citeshttps://doi.org/10.62486/latia202580openalex-snapshot
AI-Powered Satellite Imagery Processing for Global Air Traffic Surveillance
inferred← citeshttps://doi.org/10.67609/0edfvm25openalex-snapshot
ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ОТРАСЛЕВЫХ НАПРАВЛЕНИЯХ ГЕОГРАФИИ И ЕГО ЗНАЧЕНИЕ ДЛЯ РАЗВИТИЯ ТУРИСТИЧЕСКОЙ ИНДУСТРИИ
inferred← citeshttps://doi.org/10.7189/001c.155593openalex-snapshot
Characterizing effects of air quality in maternal, newborn and child health (CHEAQI–MNCH) in sub-Saharan Africa: a research protocol
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.