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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 518 papers

TitleStatusHype
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
SpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2Code0
COSMIC: Compress Satellite Images Efficiently via Diffusion CompensationCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Satellite image classification with neural quantum kernels—0
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?—0
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks—0
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia—0
Multi-Sensor Deep Learning for Glacier Mapping—0
Rapid Adaptation of Earth Observation Foundation Models for Segmentation—0
On the Generalizability of Foundation Models for Crop Type MappingCode0
Uncertainty and Generalizability in Foundation Models for Earth Observation—0
Interactive Masked Image Modeling for Multimodal Object Detection in Remote Sensing—0
The Mismeasure of Weather: Using Remotely Sensed Earth Observation Data in Economic Context—0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
Impact Evaluations in Data Poor Settings: The Case of Stress-Tolerant Rice Varieties in Bangladesh—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping—0
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features—0
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised PretrainingCode1
A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning—0
Segment Using Just One Example—0
Show:102550
← PrevPage 6 of 21Next →

No leaderboard results yet.