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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

Showing 181190 of 518 papers

TitleStatusHype
FlexiMo: A Flexible Remote Sensing Foundation Model0
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets0
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery0
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation0
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
Lossy Neural Compression for Geospatial Analytics: A Review0
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem0
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models0
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