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Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction

https://doi.org/10.3390/rs10071135
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.1999.0750openalex-snapshot
Automatic Object Extraction from Aerial Imagery—A Survey Focusing on Buildings
inferredcites →https://doi.org/10.1007/s11263-007-0109-1openalex-snapshot
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
inferredcites →https://doi.org/10.1016/0734-189x(88)90016-3openalex-snapshot
Detecting buildings in aerial images
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2013.01.004openalex-snapshot
An adaptive fuzzy-genetic algorithm approach for building detection using high-resolution satellite images
inferredcites →https://doi.org/10.1016/j.isprsjprs.2007.05.011openalex-snapshot
Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features
inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.05.002openalex-snapshot
Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks
inferredcites →https://doi.org/10.1016/j.patcog.2016.07.001openalex-snapshot
Towards better exploiting convolutional neural networks for remote sensing scene classification
inferredcites →https://doi.org/10.1080/01431160512331326675openalex-snapshot
Model and context‐driven building extraction in dense urban aerial images
inferredcites →https://doi.org/10.1109/comsig.1998.736936openalex-snapshot
An investigation into the use of wavelets and scaling for the extraction of buildings in aerial images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot
Learning Deconvolution Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/igarss.2015.7326158openalex-snapshot
Building detection in very high resolution multispectral data with deep learning features
inferredcites →https://doi.org/10.1109/igarss.2016.7729471openalex-snapshot
Building extraction from multi-source remote sensing images via deep deconvolution neural networks
inferredcites →https://doi.org/10.1109/tgrs.2016.2612821openalex-snapshot
Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2017.2737535openalex-snapshot
Deep Learning Markov Random Field for Semantic Segmentation
inferredcites →https://doi.org/10.1117/12.2083273openalex-snapshot
Building and road detection from large aerial imagery
inferredcites →https://doi.org/10.1145/2666310.2666389openalex-snapshot
Learning to count buildings in diverse aerial scenes
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.2352/issn.2470-1173.2016.10.robvis-392openalex-snapshot
Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks
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/rs8030259openalex-snapshot
A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification
inferredcites →https://doi.org/10.3390/rs9050498openalex-snapshot
Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network
inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
inferredcites →https://doi.org/10.5194/isprs-archives-xlii-1-w1-481-2017openalex-snapshot
BUILDING EXTRACTION FROM REMOTE SENSING DATA USING FULLY CONVOLUTIONAL NETWORKS

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.4671922openalex-extracted
Machine Learning-Based Downscaling of Urban Air Temperature Using Lidar Data
inferred← citeshttps://doi.org/10.1007/978-3-032-03101-3_12openalex-snapshot
Rooftop Irregularity Segmentation in Aerial Imagery Using Deep Learning
inferred← citeshttps://doi.org/10.1007/s00170-022-09242-9openalex-snapshot
RETRACTED ARTICLE: Boundary-guided DCNN for building extraction from high-resolution remote sensing images
inferred← citeshttps://doi.org/10.1007/s00521-025-11767-5openalex-snapshot
A sharper building segmentation by shape gradient enhancement
inferred← citeshttps://doi.org/10.1007/s10489-022-03310-zopenalex-snapshot
DIResUNet: Architecture for multiclass semantic segmentation of high resolution remote sensing imagery data
inferred← citeshttps://doi.org/10.1007/s11554-021-01166-zopenalex-snapshot
A real-time efficient object segmentation system based on U-Net using aerial drone images
inferred← citeshttps://doi.org/10.1007/s12145-025-02043-0openalex-snapshot
Building roof extraction from aerial imagery using resUNet- nonlocal attention block and seamless patch integration: a case study in Ahvaz, Iran
inferred← citeshttps://doi.org/10.1007/s12524-021-01322-9openalex-snapshot
Integration of Texture and Spectral Response with AI Techniques for Buildings Footprint Identification Using High-Resolution Satellite Images
inferred← citeshttps://doi.org/10.1007/s12652-021-03017-yopenalex-snapshot
Disease prediction based retinal segmentation using bi-directional ConvLSTMU-Net
inferred← citeshttps://doi.org/10.1007/s13369-022-06768-8openalex-snapshot
An Encoder–Decoder Deep Learning Framework for Building Footprints Extraction from Aerial Imagery
inferred← citeshttps://doi.org/10.1016/j.asr.2024.03.002openalex-snapshot
Transformer-based semantic segmentation for large-scale building footprint extraction from very-high resolution satellite images
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103509openalex-snapshot
Automated building extraction using satellite remote sensing imagery
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.06.001openalex-snapshot
GeoSay: A geometric saliency for extracting buildings in remote sensing images
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117346openalex-snapshot
Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104458openalex-snapshot
MTF-BFE: a multi-task learning framework for building footprint extraction by fusing historical cadastral maps with up-to-date remote sensing images
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.2023.05.013openalex-snapshot
Improving building rooftop segmentation accuracy through the optimization of UNet basic elements and image foreground-background balance
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.05.013openalex-snapshot
Low-severity spruce beetle infestation mapped from high-resolution satellite imagery with a convolutional network
inferred← citeshttps://doi.org/10.1016/j.jag.2023.103420openalex-snapshot
A lightweight building instance extraction method based on adaptive optimization of mask contour
inferred← citeshttps://doi.org/10.1016/j.ophoto.2023.100031openalex-snapshot
Towards global scale segmentation with OpenStreetMap and remote sensing
inferred← citeshttps://doi.org/10.1038/s41598-024-64231-0openalex-snapshot
Revolutionizing urban mapping: deep learning and data fusion strategies for accurate building footprint segmentation
inferred← citeshttps://doi.org/10.1080/01431161.2019.1681604openalex-snapshot
Oil palm plantation mapping from high-resolution remote sensing images using deep learning
inferred← citeshttps://doi.org/10.1080/01431161.2020.1742944openalex-snapshot
Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map
inferred← citeshttps://doi.org/10.1080/01431161.2021.1973685openalex-snapshot
Dense prediction of label noise for learning building extraction from aerial drone imagery
inferred← citeshttps://doi.org/10.1080/01431161.2022.2122892openalex-snapshot
Grsnet: gated residual supervision network for pixel-wise building segmentation in remote sensing imagery
inferred← citeshttps://doi.org/10.1080/07038992.2023.2237591openalex-snapshot
Black and Odorous Water Detection of Remote Sensing Images Based on Improved Deep Learning
inferred← citeshttps://doi.org/10.1080/10106049.2020.1856199openalex-snapshot
An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images
inferred← citeshttps://doi.org/10.1080/10106049.2024.2370322openalex-snapshot
Regularizing building outlines extracted from remote sensing images by integrating multiple algorithms
inferred← citeshttps://doi.org/10.1080/14498596.2022.2037473openalex-snapshot
Building footprint extraction from very high-resolution satellite images using deep learning
inferred← citeshttps://doi.org/10.1080/17538947.2025.2509090openalex-snapshot
MSHRNet: a multi-scale high-resolution network for land cover classification from high spatial resolution remote sensing images
inferred← citeshttps://doi.org/10.1080/22797254.2021.2018944openalex-snapshot
Building extraction from remote sensing images using deep residual U-Net
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.2020.3015701openalex-snapshot
ARC-Net: An Efficient Network for Building Extraction From High-Resolution Aerial Images
inferred← citeshttps://doi.org/10.1109/access.2020.3021071openalex-snapshot
Classification of High-Resolution Remote Sensing Images in the Feilaixia Reservoir Based on a Fully Convolutional Network
inferred← citeshttps://doi.org/10.1109/access.2020.3038225openalex-snapshot
Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture
inferred← citeshttps://doi.org/10.1109/access.2022.3164401openalex-snapshot
IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/iccd59681.2023.10420666openalex-snapshot
A Ternary-attention Capsule Feature Pyramid Network for Building Footprint Extraction from Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1109/igarss.2019.8900633openalex-snapshot
Combined Multiscale Convolutional Neural Networks and Superpixels for Building Extraction In Very High-Resolution Images
inferred← citeshttps://doi.org/10.1109/igarss55030.2025.11243503openalex-snapshot
CLSMNet: Cross-Level Semantic Mapping Network for Building Extraction in Complex Scenes
inferred← citeshttps://doi.org/10.1109/jstars.2021.3109237openalex-snapshot
Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images
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/jstars.2021.3139017openalex-snapshot
CGSANet: A Contour-Guided and Local Structure-Aware Encoder–Decoder Network for Accurate Building Extraction From Very High-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1109/jstars.2022.3188493openalex-snapshot
Which CAM is Better for Extracting Geographic Objects? A Perspective From Principles and Experiments
inferred← citeshttps://doi.org/10.1109/jstars.2022.3204576openalex-snapshot
ReA-Net: A Multiscale Region Attention Network With Neighborhood Consistency Supervision for Building Extraction From Remote Sensing Image
inferred← citeshttps://doi.org/10.1109/jstars.2022.3214485openalex-snapshot
A Multiscale and Multipath Network With Boundary Enhancement for Building Footprint Extraction From Remotely Sensed Imagery
inferred← citeshttps://doi.org/10.1109/jstars.2023.3319826openalex-snapshot
Multiconstraint Transformer-Based Automatic Building Extraction From High-Resolution Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/jstars.2023.3323486openalex-snapshot
Extraction of Pig Farms From GaoFen Satellite Images Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/jstars.2023.3346454openalex-snapshot
LFEMAP-Net: Low-Level Feature Enhancement and Multiscale Attention Pyramid Aggregation Network for Building Extraction From High-Resolution Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/jstars.2024.3477606openalex-snapshot
Small Object Segmentation Using Dilated Convolutions With Increasing-Decreasing Dilation
inferred← citeshttps://doi.org/10.1109/lgrs.2020.2986380openalex-snapshot
Capsule Feature Pyramid Network for Building Footprint Extraction From High-Resolution Aerial Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3174399openalex-snapshot
POI Detection of High-Rise Buildings Using Remote Sensing Images: A Semantic Segmentation Method Based on Multitask Attention Res-U-Net
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3215852openalex-snapshot
LCS: A Collaborative Optimization Framework of Vector Extraction and Semantic Segmentation for Building Extraction
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3282926openalex-snapshot
MSRF-Net: Multiscale Receptive Field Network for Building Detection From Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3309918openalex-snapshot
Semisupervised Building Instance Extraction From High-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3310534openalex-snapshot
IBCO-Net: Integrity-Boundary-Corner Optimization in a General Multistage Network for Building Fine Segmentation From Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3421651openalex-snapshot
Extracting Building Footprint From Remote Sensing Images by an Enhanced Vision Transformer Network
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3703009openalex-snapshot
DD-UNet: A Deep Learning-Based Network for Building Extraction by Enhancing Multiscale Information Utilization
inferred← citeshttps://doi.org/10.1117/12.2532662openalex-snapshot
Building segmentation of remote sensing images using deep neural networks and domain transform CRF
inferred← citeshttps://doi.org/10.1155/2022/2013558openalex-snapshot
An Efficient Retinal Segmentation‐Based Deep Learning Framework for Disease Prediction
inferred← citeshttps://doi.org/10.11834/jrs.20210360openalex-snapshot
Global-Local-Aware conditional random fields based building extraction for high spatial resolution remote sensing images
inferred← citeshttps://doi.org/10.14358/pers.22-00032r2openalex-snapshot
The Use of Indices and Modified U-Net Network in Improving the Classification of Planting Structures
inferred← citeshttps://doi.org/10.15244/pjoes/160190openalex-snapshot
Study on Remote Sensing Image Classification of Oasis Area Based on ENVI Deep Learning
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i11.10951openalex-snapshot
A Systematic Review on Evaluation of Surveillance System for Unusual Behavior Using Artificial Intelligence
inferred← citeshttps://doi.org/10.23977/autml.2020.020101openalex-snapshot
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inferred← citeshttps://doi.org/10.32628/cseit206532openalex-snapshot
Photo Based Location Information Services Using Encryption Free Framework with Duplicate Checking
inferred← citeshttps://doi.org/10.3390/app10010338openalex-snapshot
A Hybrid End-to-End Approach Integrating Conditional Random Fields into CNNs for Prostate Cancer Detection on MRI
inferred← citeshttps://doi.org/10.3390/app11115069openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app11136072openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app12125960openalex-snapshot
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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/app9152972openalex-snapshot
An Improved Perceptual Hash Algorithm Based on U-Net for the Authentication of High-Resolution Remote Sensing Image
inferred← citeshttps://doi.org/10.3390/en14237982openalex-snapshot
Deep Learning-Based Building Extraction from Remote Sensing Images: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/rs10111840openalex-snapshot
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
inferred← citeshttps://doi.org/10.3390/rs11030227openalex-snapshot
Fusion of Multiscale Convolutional Neural Networks for Building Extraction in Very High-Resolution Images
inferred← citeshttps://doi.org/10.3390/rs11040403openalex-snapshot
Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data
inferred← citeshttps://doi.org/10.3390/rs11070830openalex-snapshot
Building Footprint Extraction from High-Resolution Images via Spatial Residual Inception Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/rs11091015openalex-snapshot
Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss
inferred← citeshttps://doi.org/10.3390/rs11161897openalex-snapshot
Web-Net: A Novel Nest Networks with Ultra-Hierarchical Sampling for Building Extraction from Aerial Imageries
inferred← citeshttps://doi.org/10.3390/rs11202380openalex-snapshot
DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs11232813openalex-snapshot
EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs12050872openalex-snapshot
Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs12091400openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs12152350openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs12182910openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs12182985openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs12183053openalex-snapshot
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications
inferred← citeshttps://doi.org/10.3390/rs12233983openalex-snapshot
Building Extraction from High Spatial Resolution Remote Sensing Images via Multiscale-Aware and Segmentation-Prior Conditional Random Fields
inferred← citeshttps://doi.org/10.3390/rs13030371openalex-snapshot
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs13040760openalex-snapshot
Boundary-Assisted Learning for Building Extraction from Optical Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs13132524openalex-snapshot
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs13132578openalex-snapshot
Open Data and Deep Semantic Segmentation for Automated Extraction of Building Footprints
inferred← citeshttps://doi.org/10.3390/rs13142794openalex-snapshot
Building Multi-Feature Fusion Refined Network for Building Extraction from High-Resolution Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs13163187openalex-snapshot
Building Outline Extraction Directly Using the U2-Net Semantic Segmentation Model from High-Resolution Aerial Images and a Comparison Study
inferred← citeshttps://doi.org/10.3390/rs13183710openalex-snapshot
Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/rs13193814openalex-snapshot
A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs14081912openalex-snapshot
Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint
inferred← citeshttps://doi.org/10.3390/rs14112532openalex-snapshot
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts
inferred← citeshttps://doi.org/10.3390/rs15092231openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs15102585openalex-snapshot
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction
inferred← citeshttps://doi.org/10.3390/rs15153766openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs15204907openalex-snapshot
Hybrid Task Cascade-Based Building Extraction Method in Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs16132397openalex-snapshot
EUNet: Edge-UNet for Accurate Building Extraction and Edge Emphasis in Gaofen-7 Images
inferred← citeshttps://doi.org/10.3390/rs16224305openalex-snapshot
ME-FCN: A Multi-Scale Feature-Enhanced Fully Convolutional Network for Building Footprint Extraction
inferred← citeshttps://doi.org/10.3390/rs17060952openalex-snapshot
MMRAD-Net: A Multi-Scale Model for Precise Building Extraction from High-Resolution Remote Sensing Imagery with DSM Integration
inferred← citeshttps://doi.org/10.3390/rs17091481openalex-snapshot
AP-PointRend: An Improved Network for Building Extraction via High-Resolution Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/s20247241openalex-snapshot
Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network
inferred← citeshttps://doi.org/10.3390/s23041779openalex-snapshot
Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery
inferred← citeshttps://doi.org/10.4108/eai.7-12-2021.172362openalex-snapshot
Encoder-decoder structure based on conditional random field for building extraction in remote sensing images
inferred← citeshttps://doi.org/10.4108/eai.8-4-2022.173801openalex-snapshot
RETRACTED: Encoder-decoder structure based on conditional random field for building extraction in remote sensing images [EAI Endorsed Scal Inf Syst (2022), Online First]
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b3-2022-211-2022openalex-snapshot
LOCATION DISCOVERY OF VECTOR DATA UPDATE DRIVEN BY MAP IMAGE TILES FOR NATIONAL GEO-INFORMATION SERVICE PLATFORM
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