SOTAVerified

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 201–225 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
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 SatelliteCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest MonitoringCode0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
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
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
Automatic Census of Mussel Platforms Using Sentinel 2 Images—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
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