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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 301–350 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
A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning—0
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis—0
Learning Neural Optimal Interpolation Models and Solvers—0
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery—0
Learning Structures in Earth Observation Data with Gaussian Processes—0
Leveraging band diversity for feature selection in EO data—0
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach—0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
Living in the Physics and Machine Learning Interplay for Earth Observation—0
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps—0
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf—0
Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware—0
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing—0
Low-Thrust Under-Actuated Satellite Formation Guidance and Control Strategies—0
Machine Learning for Generalizable Prediction of Flood Susceptibility—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
The Mismeasure of Weather: Using Remotely Sensed Earth Observation Data in Economic Context—0
Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean—0
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images—0
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping—0
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review—0
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning—0
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