{"url":"/task/remote-sensing-image-classification","name":"Remote Sensing Image Classification","slug":"remote-sensing-image-classification","description_markdown":null,"categories":[{"name":"Computer Code","url":"/area/computer-code"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":93,"papers_with_code":39,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":10,"subtasks":2,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/remote-sensing-image-classification-on","slug":"remote-sensing-image-classification-on","dataset":"FireRisk","dataset_url":"/dataset/firerisk","rows_in_archive":4,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"ResNet-50","paper_title":"FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning","paper_url":"/paper/firerisk-a-remote-sensing-dataset-for-fire","paper_date":"2023-03-13","arxiv_id":"2303.07035","code_links":[{"title":"charmonyshen/firerisk","url":"https://github.com/charmonyshen/firerisk"}],"syntology":null}}],"datasets":[{"url":"/dataset/million-aid","name":"Million-AID","full_name":"","num_papers_in_archive":41},{"url":"/dataset/aid","name":"AID","full_name":"Aerial Image Dataset","num_papers_in_archive":40},{"url":"/dataset/whu-rs19","name":"WHU-RS19","full_name":"","num_papers_in_archive":4},{"url":"/dataset/firerisk","name":"FireRisk","full_name":"FireRisk: A Remote Sensing Dataset for Fire Risk Assessment","num_papers_in_archive":3},{"url":"/dataset/drift","name":"DRIFT","full_name":"Domain-Adaptive Regression for Forest Monitoring","num_papers_in_archive":1},{"url":"/dataset/gdit","name":"GDIT","full_name":"","num_papers_in_archive":1},{"url":"/dataset/hrplanesv2","name":"HRPlanesV2","full_name":"HRPlanesv2 - High Resolution Satellite Imagery for Aircraft Detection","num_papers_in_archive":1},{"url":"/dataset/openstreetmap-multi-sensor-scene","name":"OpenStreetMap Multi-Sensor Scene Classification","full_name":"","num_papers_in_archive":1},{"url":"/dataset/remote-flash-lidar-vehicles-dataset","name":"Remote Flash LiDAR Vehicles Dataset","full_name":"","num_papers_in_archive":1},{"url":"/dataset/rti-rwanda-drone-crop-types","name":"RTI Rwanda Drone Crop Types","full_name":"Drone Imagery Classification Training Dataset for Crop Types in Rwanda","num_papers_in_archive":0}],"subtasks":[{"url":"/task/sentinel-1-sar-processing","name":"Sentinel-1 SAR processing"},{"url":"/task/webcam-rgb-image-classification","name":"Webcam (RGB) image classification"}],"parent_tasks":[{"url":"/task/remote-sensing","name":"Remote Sensing"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":39,"tagged_in_all":93,"items":[{"url":"/paper/small-object-detection-in-remote-sensing","title":"Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network","date":"2020-03-20","arxiv_id":"2003.09085","repositories_listed":4,"syntology":null},{"url":"/paper/rsmamba-remote-sensing-image-classification","title":"RSMamba: Remote Sensing Image Classification with State Space Model","date":"2024-03-28","arxiv_id":"2403.19654","repositories_listed":3,"syntology":{"n":10,"n_ran":8,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/msfmamba-multi-scale-feature-fusion-state","title":"MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification","date":"2024-08-26","arxiv_id":"2408.14255","repositories_listed":2,"syntology":null},{"url":"/paper/current-trends-in-deep-learning-for-earth","title":"Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification","date":"2022-07-14","arxiv_id":"2207.07189","repositories_listed":2,"syntology":null},{"url":"/paper/multimodal-fusion-transformer-for-remote","title":"Multimodal Fusion Transformer for Remote Sensing Image Classification","date":"2022-03-31","arxiv_id":"2203.16952","repositories_listed":2,"syntology":null},{"url":"/paper/lake-ice-monitoring-with-webcams-and-crowd","title":"Lake Ice Monitoring with Webcams and Crowd-Sourced Images","date":"2020-02-18","arxiv_id":"2002.07875","repositories_listed":2,"syntology":null},{"url":"/paper/mvnet-hyperspectral-remote-sensing-image","title":"MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture","date":"2025-07-06","arxiv_id":"2507.04409","repositories_listed":1,"syntology":null},{"url":"/paper/a-diff-attention-aware-state-space-fusion","title":"A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification","date":"2025-04-23","arxiv_id":"2504.16665","repositories_listed":1,"syntology":null},{"url":"/paper/a-synergistic-cnn-transformer-network-with","title":"A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification","date":"2025-02-14","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/communication-efficient-federated-learning-26","title":"Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification","date":"2025-01-20","arxiv_id":"2501.11493","repositories_listed":1,"syntology":null},{"url":"/paper/remotetrimmer-adaptive-structural-pruning-for","title":"RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification","date":"2024-12-17","arxiv_id":"2412.12603","repositories_listed":1,"syntology":null},{"url":"/paper/on-board-satellite-image-classification-for","title":"Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models","date":"2024-09-05","arxiv_id":"2409.03901","repositories_listed":1,"syntology":null},{"url":"/paper/gradient-guided-multiscale-focal-attention","title":"Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification","date":"2024-07-16","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/flightscope-a-deep-comprehensive-assessment","title":"FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery","date":"2024-04-03","arxiv_id":"2404.02877","repositories_listed":1,"syntology":null},{"url":"/paper/vigeo-an-assessment-of-vision-gnns-in-earth","title":"ViGEO: an Assessment of Vision GNNs in Earth Observation","date":"2024-02-15","arxiv_id":"2402.09962","repositories_listed":1,"syntology":null},{"url":"/paper/ss-mae-spatial-spectral-masked-auto-encoder","title":"SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification","date":"2023-11-08","arxiv_id":"2311.04442","repositories_listed":1,"syntology":{"n":15,"n_ran":8,"n_unverified":7,"n_pointer_only":15}},{"url":"/paper/dgcnet-an-efficient-3d-densenet-based-on","title":"DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification","date":"2023-07-13","arxiv_id":"2307.06667","repositories_listed":1,"syntology":null},{"url":"/paper/sphere2vec-a-general-purpose-location","title":"Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions","date":"2023-06-30","arxiv_id":"2306.17624","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_unverified":1,"n_pointer_only":4}},{"url":"/paper/quantitative-analysis-of-primary-attribution","title":"Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification","date":"2023-06-06","arxiv_id":"2306.04037","repositories_listed":1,"syntology":null},{"url":"/paper/firerisk-a-remote-sensing-dataset-for-fire","title":"FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning","date":"2023-03-13","arxiv_id":"2303.07035","repositories_listed":1,"syntology":null},{"url":"/paper/universal-domain-adaptation-for-remote","title":"Universal Domain Adaptation for Remote Sensing Image Scene Classification","date":"2023-01-26","arxiv_id":"2301.11387","repositories_listed":1,"syntology":null},{"url":"/paper/semantic-interleaving-global-channel","title":"Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification","date":"2022-08-04","arxiv_id":"2208.02613","repositories_listed":1,"syntology":null},{"url":"/paper/self-attention-based-deep-feature-fusion-for","title":"Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification","date":"2022-05-30","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/dkdfn-domain-knowledge-guided-deep","title":"DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification","date":"2022-02-13","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deep-transfer-learning-for-land-use-land","title":"Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study","date":"2021-10-06","arxiv_id":"2110.02580","repositories_listed":1,"syntology":null},{"url":"/paper/a-novel-uncertainty-aware-collaborative","title":"A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels","date":"2021-05-12","arxiv_id":"2105.05496","repositories_listed":1,"syntology":null},{"url":"/paper/a-multi-task-deep-learning-framework-for","title":"A Multi-Task Deep Learning Framework for Building Footprint Segmentation","date":"2021-04-19","arxiv_id":"2104.09375","repositories_listed":1,"syntology":null},{"url":"/paper/self-supervised-learning-of-remote-sensing","title":"Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding","date":"2021-04-14","arxiv_id":"2104.07070","repositories_listed":1,"syntology":null},{"url":"/paper/remote-sensing-image-classification-with-the","title":"Remote Sensing Image Classification with the SEN12MS Dataset","date":"2021-04-01","arxiv_id":"2104.00704","repositories_listed":1,"syntology":null},{"url":"/paper/attention-based-second-order-pooling-network","title":"Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification","date":"2021-01-14","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}