On the public citation graph
Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods
0 signed · 114 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/1-4020-3968-9openalex-snapshot
Remote sensing of aquatic coastal ecosystem processes
inferredcites →https://doi.org/10.1007/3-540-29711-1openalex-snapshot
Remote Sensing Digital Image Analysis: An Introduction
inferredcites →https://doi.org/10.1016/j.gloenvcha.2011.02.002openalex-snapshot
Can a 25-year trend in Soudano-Sahelian vegetation dynamics be interpreted in terms of land use change? A remote sensing approach
inferredcites →https://doi.org/10.1016/j.jag.2011.05.011openalex-snapshot
A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery
inferredcites →https://doi.org/10.1016/j.rse.2011.11.020openalex-snapshot
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
inferredcites →https://doi.org/10.1016/j.rse.2013.04.015openalex-snapshot
Deriving long term snow cover extent dataset from AVHRR and MODIS data: Central Asia case study
inferredcites →https://doi.org/10.1080/01431160903475316openalex-snapshot
Removing shadows from Google Earth images
inferredcites →https://doi.org/10.1080/01431161.2011.636081openalex-snapshot
Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives
inferredcites →https://doi.org/10.1080/13658810903174803openalex-snapshot
ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
inferredcites →https://doi.org/10.1080/17538947.2011.653995openalex-snapshot
Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China
inferredcites →https://doi.org/10.1080/2150704x.2015.1047045openalex-snapshot
Spectral–spatial classification of hyperspectral images using deep convolutional neural networks
inferredcites →https://doi.org/10.1109/acpr.2013.33openalex-snapshot
Vehicle Detection in Satellite Images by Parallel Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/icnc.2008.903openalex-snapshot
A K-Means Remote Sensing Image Classification Method Based On AdaBoost
inferredcites →https://doi.org/10.1109/ijcnn.1999.836050openalex-snapshot
Building pattern classifiers using convolutional neural networks
inferredcites →https://doi.org/10.1109/jstars.2012.2218673openalex-snapshot
Foreword to the Special Issue on Pattern Recognition in Remote Sensing
inferredcites →https://doi.org/10.1109/mcse.2010.16openalex-snapshot
Rapid Assessment of Secondary Disasters Induced by the Wenchuan Earthquake
inferredcites →https://doi.org/10.1109/mprv.2006.83openalex-snapshot
Scalable, Distributed, Real-Time Map Generation
inferredcites →https://doi.org/10.1109/prrs.2010.5742806openalex-snapshot
Building detection in satellite images by textural features and Adaboost
inferredcites →https://doi.org/10.1109/robot.2005.1570363openalex-snapshot
Supervised Learning of Places from Range Data using AdaBoost
inferredcites →https://doi.org/10.1109/wacv.2015.79openalex-snapshot
Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1117/12.830295openalex-snapshot
Airport runway detection in satellite images by Adaboost learning
inferredcites →https://doi.org/10.1117/12.833730openalex-snapshot
The study on dynamic extraction of urban land use cover with remote sensing image based on AdaBoost algorithm
inferredcites →https://doi.org/10.14358/pers.72.7.799openalex-snapshot
Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
inferredcites →https://doi.org/10.2307/634969openalex-snapshot
Remote Sensing and Image Interpretation
inferredcites →https://doi.org/10.3390/rs5116026openalex-snapshot
Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping
inferredcites →https://doi.org/10.3390/rs6053624openalex-snapshot
Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine Learning Methods in the Hyrcanian Forest
inferredcites →https://doi.org/10.3390/rs70404318openalex-snapshot
Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm
inferredcites →https://doi.org/10.3390/rs70809705openalex-snapshot
Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms
inferredcites →https://doi.org/10.3390/rs70912419openalex-snapshot
Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine Learning Techniques
inferredcites →https://doi.org/10.3390/rs71114680openalex-snapshot
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
inferredcites →https://doi.org/10.3390/s110302972openalex-snapshot
Mapping the Philippines’ Mangrove Forests Using Landsat Imagery
inferredcites →https://doi.org/10.3390/s8127973openalex-snapshot
Horizontal Positional Accuracy of Google Earth’s High-Resolution Imagery Archive
inferredcites →https://doi.org/10.48550/arxiv.1204.3968openalex-snapshot
Convolutional Neural Networks Applied to House Numbers Digit Classification
inferredcites →https://doi.org/10.48550/arxiv.cmp-lg/9602004openalex-snapshot
Assessing agreement on classification tasks: the kappa statistic
inferredcites →https://doi.org/10.5589/m08-059openalex-snapshot
Remotely sensed estimation of cropland in China: a comparison of the maps derived from four global land cover datasets
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4674697openalex-extracted
A Novel Deeplab Model Integrating Super-Resolution for Sub-Meter Surface Water Mapping with Sentinel-1/2
inferred← citeshttps://doi.org/10.1007/978-3-030-13469-3_16openalex-snapshot
Dealing with Heterogeneous Google Earth Images on Building Area Detection Task
inferred← citeshttps://doi.org/10.1007/978-3-030-22475-2_1openalex-snapshot
A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science
inferred← citeshttps://doi.org/10.1007/978-3-031-19309-5_23openalex-snapshot
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-981-15-6233-4_7openalex-snapshot
Landslides Hazard Mapping Using High-Resolution Satellite Data
inferred← citeshttps://doi.org/10.1007/978-981-19-8202-6_31openalex-snapshot
A Fast Verification Method of Small Building Samples Using Deep Learning
inferred← citeshttps://doi.org/10.1007/s13157-022-01556-4openalex-snapshot
Distributions of the Non-Native Mangrove Sonneratia apetala in China: Based on Google Earth Imagery and Field Survey
inferred← citeshttps://doi.org/10.1007/s42452-022-05246-yopenalex-snapshot
An approach for identifying historic village using deep learning
inferred← citeshttps://doi.org/10.1016/j.geomorph.2018.04.011openalex-snapshot
Large-scale mapping of gully-affected areas: An approach integrating Google Earth images and terrain skeleton information
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.08.019openalex-snapshot
Applications and impacts of Google Earth: A decadal review (2006–2016)
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.11.011openalex-snapshot
TEMPORARY REMOVAL: Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.05.013openalex-snapshot
Improving public data for building segmentation from Convolutional Neural Networks (CNNs) for fused airborne lidar and image data using active contours
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.08.024openalex-snapshot
A hybrid image segmentation method for building extraction from high-resolution RGB images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.09.002openalex-snapshot
Developing a sub-meter phenological spectral feature for mapping poplars and willows in urban environment
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2016.11.140openalex-snapshot
Indicators of improved water access in the context of schistosomiasis transmission in rural Eastern Region, Ghana
inferred← citeshttps://doi.org/10.1038/s41467-021-25720-2openalex-snapshot
High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation
inferred← citeshttps://doi.org/10.1038/s41597-025-06064-8openalex-snapshot
A parcel-level cropland dataset with field shape indicators for Xizang (Tibet) from VHR remote sensing
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-6133openalex-snapshot
Extraction of Rural Buildings with Different Main Structure Types Based on a Revised U-Net Model
inferred← citeshttps://doi.org/10.1080/01431161.2021.1903613openalex-snapshot
Mapping of African urban settlements using Google Earth images
inferred← citeshttps://doi.org/10.1080/01431161.2025.2580778openalex-snapshot
Sub-metre surface water mapping using Sentinel-1/2 with integrated super-resolution and deep learning
inferred← citeshttps://doi.org/10.1080/07038992.2021.1872374openalex-snapshot
Object-Based Wetland Classification Using Multi-Feature Combination of Ultra-High Spatial Resolution Multispectral Images
inferred← citeshttps://doi.org/10.1080/07038992.2021.1915756openalex-snapshot
A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images
inferred← citeshttps://doi.org/10.1080/17538947.2025.2522394openalex-snapshot
Comparative analysis of deep learning approaches for forest stand type classification: insights from the new VHRTreeSpecies benchmark dataset
inferred← citeshttps://doi.org/10.1080/19475683.2018.1564791openalex-snapshot
A small-patched convolutional neural network for mangrove mapping at species level using high-resolution remote-sensing image
inferred← citeshttps://doi.org/10.1080/20964471.2019.1657720openalex-snapshot
A survey of remote sensing image classification based on CNNs
inferred← citeshttps://doi.org/10.1108/978-1-83662-034-120261010openalex-snapshot
Social Transformation of Farmers in Rural Java: Anticipating Structural and Cultural Threats in Agricultural Livelihood System Changes
inferred← citeshttps://doi.org/10.1109/access.2019.2940527openalex-snapshot
Automatic Building Extraction on High-Resolution Remote Sensing Imagery Using Deep Convolutional Encoder-Decoder With Spatial Pyramid Pooling
inferred← citeshttps://doi.org/10.1109/access.2024.3354976openalex-snapshot
A Deeper Look Into Remote Sensing Scene Image Misclassification by CNNs
inferred← citeshttps://doi.org/10.1109/eorsa.2016.7552806openalex-snapshot
Development of an automated system for building detection from high-resolution satellite images
inferred← citeshttps://doi.org/10.1109/icmcce51767.2020.00431openalex-snapshot
Building segmentation from satellite imagery using U-Net with ResNet encoder
inferred← citeshttps://doi.org/10.1109/jstars.2021.3130038openalex-snapshot
Regularized Building Boundary Extraction From Remote Sensing Imagery Based on Augment Feature Pyramid Network and Morphological Constraint
inferred← citeshttps://doi.org/10.1109/ssd49366.2020.9364254openalex-snapshot
Land cover classification of GeoEye image based on Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/tgrs.2018.2858817openalex-snapshot
Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set
inferred← citeshttps://doi.org/10.1111/mice.12930openalex-snapshot
Building height calculation for an urban area based on street view images and deep learning
inferred← citeshttps://doi.org/10.1117/12.2502849openalex-snapshot
Village detection based on deep semantic segmentation network in Google Earth satellite images
inferred← citeshttps://doi.org/10.1155/2019/8097213openalex-snapshot
Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach
inferred← citeshttps://doi.org/10.1155/2022/4831223openalex-snapshot
Detecting Buildings and Nonbuildings from Satellite Images Using U-Net
inferred← citeshttps://doi.org/10.11606/t.45.2023.tde-05062023-071021openalex-snapshot
Two-phase methods to segment man-made objects around reservoirs
inferred← citeshttps://doi.org/10.1177/1525822x221135369openalex-snapshot
Are Voter Rolls Suitable Sampling Frames for Household Surveys? Evidence from India
inferred← citeshttps://doi.org/10.17771/pucrio.acad.32969openalex-snapshot
MAPEAMENTO DA DISTRIBUIÇÃO POPULACIONAL ATRAVÉS DA DETECÇÃO DE ÁREAS EDIFICADAS EM IMAGENS DE REGIÕES HETEROGÊNEAS DO GOOGLE EARTH USANDO DEEP LEARNING
inferred← citeshttps://doi.org/10.21523/gcj1.18020103openalex-snapshot
Automated Building Extraction using High Resolution Satellite Imagery though Ensemble Modelling and Machine Learning
inferred← citeshttps://doi.org/10.26833/ijeg.645426openalex-snapshot
Feature extraction from satellite images using segnet and fully convolutional networks (FCN)
inferred← citeshttps://doi.org/10.3390/agronomy12092010openalex-snapshot
Suitability Evaluation of Tea Cultivation Using Machine Learning Technique at Town and Village Scales
inferred← citeshttps://doi.org/10.3390/app9091816openalex-snapshot
Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation
inferred← citeshttps://doi.org/10.3390/buildings14051302openalex-snapshot
Traditional Village Morphological Characteristics and Driving Mechanism from a Rural Sustainability Perspective: Evidence from Jiangsu Province
inferred← citeshttps://doi.org/10.3390/electronics15061301openalex-snapshot
A Boundary-Assisted Multi-Scale Transformer for Object-Level Building Extraction from Satellite Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/ijgi10090606openalex-snapshot
Automatic Building Detection with Polygonizing and Attribute Extraction from High-Resolution Images
inferred← citeshttps://doi.org/10.3390/ijgi9060365openalex-snapshot
Development of GIS for Buildings in the Customary Village of Minangkabau Koto Gadang, West Sumatra, Indonesia
inferred← citeshttps://doi.org/10.3390/rs10030407openalex-snapshot
Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks
inferred← citeshttps://doi.org/10.3390/rs10030451openalex-snapshot
Object-Based Features for House Detection from RGB High-Resolution Images
inferred← citeshttps://doi.org/10.3390/rs10050766openalex-snapshot
DMBLC: An Indirect Urban Impervious Surface Area Extraction Approach by Detecting and Masking Background Land Cover on Google Earth Image
inferred← citeshttps://doi.org/10.3390/rs10081195openalex-snapshot
A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction
inferred← citeshttps://doi.org/10.3390/rs11091051openalex-snapshot
A Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-Label Land-cover Segmentation
inferred← citeshttps://doi.org/10.3390/rs12030487openalex-snapshot
Object-Based Mapping of Gullies Using Optical Images: A Case Study in the Black Soil Region, Northeast of China
inferred← citeshttps://doi.org/10.3390/rs12040726openalex-snapshot
Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods
inferred← citeshttps://doi.org/10.3390/rs12172722openalex-snapshot
Learn to Extract Building Outline from Misaligned Annotation through Nearest Feature Selector
inferred← citeshttps://doi.org/10.3390/rs12182935openalex-snapshot
Mapping Tea Plantations from VHR Images Using OBIA and Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/rs13061172openalex-snapshot
Building Extraction and Number Statistics in WUI Areas Based on UNet Structure and Ensemble Learning
inferred← citeshttps://doi.org/10.3390/rs13142656openalex-snapshot
A Multi-Task Network with Distance–Mask–Boundary Consistency Constraints for Building Extraction from Aerial Images
inferred← citeshttps://doi.org/10.3390/rs9060539openalex-snapshot
Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China
inferred← citeshttps://doi.org/10.3390/rs9090895openalex-snapshot
Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery
inferred← citeshttps://doi.org/10.3390/s17112487openalex-snapshot
Village Building Identification Based on Ensemble Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/s19102398openalex-snapshot
Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image
inferred← citeshttps://doi.org/10.3390/s22010207openalex-snapshot
Extracting Rectified Building Footprints from Traditional Orthophotos: A New Workflow
inferred← citeshttps://doi.org/10.5194/essd-15-4749-2023openalex-snapshot
SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b3-2020-35-2020openalex-snapshot
P-LINKNET: LINKNET WITH SPATIAL PYRAMID POOLING FOR HIGH-RESOLUTION SATELLITE IMAGERY
inferred← citeshttps://doi.org/10.5539/jms.v9n1p67openalex-snapshot
Land Use Change and Urban Ecosystem Services: A Case Study of Urban Wetlands in a Rapidly Sprawling City in the Highlands of Chiapas, Mexico
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.