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 351–375 of 518 papers

TitleStatusHype
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images—0
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation—0
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images—0
Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites—0
Advances in Fine Line-Of-Sight Control for Large Space Flexible Structures—0
SAR-to-RGB Translation with Latent Diffusion for Earth Observation—0
Satellite image classification with neural quantum kernels—0
Satellite Image Search in AgoraEO—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning—0
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
Scalable Data Transmission Framework for Earth Observation Satellites with Channel Adaptation—0
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images—0
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem—0
Schedule Earth Observation satellites with Deep Reinforcement Learning—0
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery—0
SeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensing—0
Seeing poverty from space, how much can it be tuned?—0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task—0
Segmentation of VHR EO Images using Unsupervised Learning—0
Segment Using Just One Example—0
A Self-Supervised Framework for Space Object Behaviour Characterisation—0
Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept—0
Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data—0
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