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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 26–50 of 518 papers

TitleStatusHype
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationCode2
Neural Plasticity-Inspired Multimodal Foundation Model for Earth ObservationCode2
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation LearningCode2
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern AnalysisCode2
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
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
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
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language InterpretationCode2
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type MonitoringCode2
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation DataCode2
JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation FrameworkCode2
OmniSat: Self-Supervised Modality Fusion for Earth ObservationCode2
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imageryCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
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
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
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