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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 401–450 of 518 papers

TitleStatusHype
Challenges and Solutions for Utilizing Earth Observations in the "Big Data" era—0
Challenges in data-based geospatial modeling for environmental research and practice—0
Changer: Feature Interaction is What You Need for Change Detection—0
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Cloud Removal in Remote Sensing Using Sequential-Based Diffusion Models—0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study—0
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution—0
Serving economic prosperity: economic impact assessments (EIA) on Earth observation-based services and tools by SERVIR—0
Compressive Hyperspectral Imaging Using Progressive Total Variation—0
Confidence Estimation in Unsupervised Deep Change Vector Analysis—0
Context-Aware Change Detection With Semi-Supervised Learning—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images—0
Simulated annealing based heuristic for multiple agile satellites scheduling under cloud coverage uncertainty—0
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images—0
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach—0
Cross-sensor self-supervised training and alignment for remote sensing—0
Advancements in Image Resolution: Super-Resolution Algorithm for Enhanced EOS-06 OCM-3 Data—0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features—0
Better, Not Just More: Data-Centric Machine Learning for Earth Observation—0
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia—0
Artificial Intelligence Mangrove Monitoring System Based on Deep Learning and Sentinel-2 Satellite Data in the UAE (2017-2024)—0
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis—0
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion—0
Deep learning approaches to Earth Observation change detection—0
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework—0
Deep Learning for Satellite Image Time Series Analysis: A Review—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review—0
Deep Learning Methods for Daily Wildfire Danger Forecasting—0
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: A Survey—0
Spacecraft design optimisation for demise and survivability—0
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models—0
Sparse Graphical Linear Dynamical Systems—0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection—0
Reaching the Edge of the Edge: Image Analysis in Space—0
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection—0
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images—0
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding—0
Early Flood Warning Using Satellite-Derived Convective System and Precipitation Data -- A Retrospective Case Study of Central Vietnam—0
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