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 351–375 of 518 papers

TitleStatusHype
Self-supervised Learning in Remote Sensing: A ReviewCode1
Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization—0
Time Gated Convolutional Neural Networks for Crop Classification—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
Pest presence prediction using interpretable machine learning—0
Innovations in the field of on-board scheduling technologies—0
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites—0
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review—0
Satellite Image Time Series Analysis for Big Earth Observation DataCode2
On the semantics of big Earth observation data for land classification—0
Hephaestus: A large scale multitask dataset towards InSAR understandingCode1
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing ImagesCode1
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation dataCode0
Self-supervised Vision Transformers for Joint SAR-optical Representation LearningCode1
Automatic Census of Mussel Platforms Using Sentinel 2 Images—0
Inference over radiative transfer models using variational and expectation maximization methodsCode0
Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative StudyCode0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fieldsCode1
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationCode2
Towards Sustainable Satellite Edge Computing—0
CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors—0
RDP-Net: Region Detail Preserving Network for Change DetectionCode1
Ensemble Learning techniques for object detection in high-resolution satellite images—0
Show:102550
← PrevPage 15 of 21Next →

No leaderboard results yet.