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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 176–200 of 518 papers

TitleStatusHype
A Self-Supervised Framework for Space Object Behaviour Characterisation—0
RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Probabilistic Machine Learning for Noisy Labels in Earth Observation—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
FlexiMo: A Flexible Remote Sensing Foundation Model—0
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets—0
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery—0
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 Observation—0
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
Lossy Neural Compression for Geospatial Analytics: A Review—0
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem—0
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications—0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models—0
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community ChallengeCode0
Regression in EO: Are VLMs Up to the Challenge?—0
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
Leveraging band diversity for feature selection in EO data—0
TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives—0
SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space ModelsCode0
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?—0
Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites—0
Joint Communications and Sensing for 6G Satellite Networks: Use Cases and Challenges—0
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