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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 326–350 of 518 papers

TitleStatusHype
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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