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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 151–200 of 518 papers

TitleStatusHype
FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic ReviewCode0
Training-free AI for Earth Observation Change Detection using Physics Aware Neuromorphic Networks—0
Geospatial Foundation Models to Enable Progress on Sustainable Development Goals—0
Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images—0
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding—0
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images—0
Adaptive and Robust Image Processing on CubeSats—0
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding ApproachCode0
Integrating earth observation data into the tri-environmental evaluation of the economic cost of natural disasters: a case study of 2025 LA wildfire—0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data—0
Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic MappingCode0
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation—0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning—0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Towards LLM Agents for Earth Observation—0
SAR-to-RGB Translation with Latent Diffusion for Earth Observation—0
TerraMind: Large-Scale Generative Multimodality for Earth Observation—0
TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data—0
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization—0
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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