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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 201–250 of 518 papers

TitleStatusHype
Frequency-Temporal Attention Network for Remote Sensing Imagery Change DetectionCode0
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer ModelCode0
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
Interactive Visualization and Representation Analysis Applied to Glacier SegmentationCode0
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 SatelliteCode0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice MonitoringCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
Inference over radiative transfer models using variational and expectation maximization methodsCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image ClassificationCode0
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation dataCode0
Deep learning approaches to Earth Observation change detection—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion—0
Impact Evaluations in Data Poor Settings: The Case of Stress-Tolerant Rice Varieties in Bangladesh—0
Automatic image annotation : the case of deforestation—0
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach—0
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis—0
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging—0
Automatic Census of Mussel Platforms Using Sentinel 2 Images—0
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery—0
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia—0
Automated National Urban Map Extraction—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
Advances in Fine Line-Of-Sight Control for Large Space Flexible Structures—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
Multitask Learning for Large-scale Semantic Change Detection—0
Better, Not Just More: Data-Centric Machine Learning for Earth Observation—0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?—0
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models—0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
ICEYE microsatellite SAR constellation status update: Evaluation of first commercial imaging modes—0
Cross-sensor self-supervised training and alignment for remote sensing—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—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
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space—0
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