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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 301–325 of 518 papers

TitleStatusHype
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery—0
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging—0
ICEYE microsatellite SAR constellation status update: Evaluation of first commercial imaging modes—0
Impact Evaluations in Data Poor Settings: The Case of Stress-Tolerant Rice Varieties in Bangladesh—0
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning—0
Implementation and comparative quantitative assessment of different multispectral image pansharpening approches—0
Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique—0
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning—0
Classifying Turbulent Environments via Machine Learning—0
Innovations in the field of on-board scheduling technologies—0
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions—0
TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives—0
Integrating earth observation data into the tri-environmental evaluation of the economic cost of natural disasters: a case study of 2025 LA wildfire—0
Interactive Masked Image Modeling for Multimodal Object Detection in Remote Sensing—0
An Interpretable Deep Semantic Segmentation Method for Earth Observation—0
Joint Communications and Sensing for 6G Satellite Networks: Use Cases and Challenges—0
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps—0
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification—0
Knowledge-aware Text-Image Retrieval for Remote Sensing Images—0
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks—0
Large Language Models for Captioning and Retrieving Remote Sensing Images—0
Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization—0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring—0
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery—0
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping—0
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