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Earth Observation

Earth Observation (EO) refers to the use of remote sensing technologies to monitor land, marine (seas, rivers, lakes) and atmosphere. Satellite-based EO relies on the use of satellite-mounted payloads to gather imaging data about the Earth’s characteristics. The images are then processed and analyzed in order to extract different types of information that can serve a very wide range of applications and industries.

Papers

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Showing 1–50 of 518 papers

TitleStatusHype
PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing ImageryCode5
TerraTorch: The Geospatial Foundation Models ToolkitCode4
SSL4EO-L: Datasets and Foundation Models for Landsat ImageryCode4
Major TOM: Expandable Datasets for Earth ObservationCode3
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation ApplicationsCode3
SARATR-X: Toward Building A Foundation Model for SAR Target RecognitionCode3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation ModelsCode3
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
RemoteSAM: Towards Segment Anything for Earth ObservationCode3
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation AdaptationCode2
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationCode2
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based MappingCode2
Towards a Unified Copernicus Foundation Model for Earth VisionCode2
Video Compression for Spatiotemporal Earth System DataCode2
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data GenerationCode2
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image InterpretationCode2
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing ImageryCode2
Earthformer: Exploring Space-Time Transformers for Earth System ForecastingCode2
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth ObservationCode2
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
Towards Vision-Language Geo-Foundation Model: A SurveyCode2
AiTLAS: Artificial Intelligence Toolbox for Earth ObservationCode2
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern AnalysisCode2
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
Neural Plasticity-Inspired Multimodal Foundation Model for Earth ObservationCode2
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation DataCode2
Satellite Image Time Series Analysis for Big Earth Observation DataCode2
NUDT4MSTAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the WildCode2
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object RecognitionCode2
JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation FrameworkCode2
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation FrameworkCode2
Foundation Models for Remote Sensing and Earth Observation: A SurveyCode2
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation LearningCode2
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type MonitoringCode2
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language InterpretationCode2
OmniSat: Self-Supervised Modality Fusion for Earth ObservationCode2
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imageryCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
COSMIC: Compress Satellite Images Efficiently via Diffusion CompensationCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
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