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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
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning—0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo—0
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf—0
Gaussian Splatting for Efficient Satellite Image Photogrammetry—0
Feature Spectrum Learning for Remote Sensing Change Detection—0
Low-Thrust Under-Actuated Satellite Formation Guidance and Control Strategies—0
SeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensing—0
Uncertainties of Satellite-based Essential Climate Variables from Deep Learning—0
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
EOGS: Gaussian Splatting for Earth Observation—0
Scalable Data Transmission Framework for Earth Observation Satellites with Channel Adaptation—0
Practical IMT and EESS Spectrum Sharing in the 7 to 8 GHz Band—0
Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space—0
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps—0
Tomographic SAR Reconstruction for Forest Height Estimation—0
Benchmarking Agility and Reconfigurability in Satellite Systems for Tropical Cyclone Monitoring—0
Rapid Distributed Fine-tuning of a Segmentation Model Onboard SatellitesCode0
Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote SensingCode0
Artificial Intelligence Mangrove Monitoring System Based on Deep Learning and Sentinel-2 Satellite Data in the UAE (2017-2024)—0
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach—0
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation—0
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs—0
Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)—0
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image ClassificationCode0
Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images—0
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction—0
Advancements in Image Resolution: Super-Resolution Algorithm for Enhanced EOS-06 OCM-3 Data—0
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach—0
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation—0
Frequency-Temporal Attention Network for Remote Sensing Imagery Change DetectionCode0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
SpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2Code0
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
Impact Evaluations in Data Poor Settings: The Case of Stress-Tolerant Rice Varieties in Bangladesh—0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
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