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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 451–500 of 518 papers

TitleStatusHype
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery—0
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction—0
EarthNets: Empowering AI in Earth Observation—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Edge Preserving CNN SAR Despeckling Algorithm—0
Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation—0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds—0
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation—0
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs—0
Energy-based Models for Earth Observation Applications—0
Ensemble Learning techniques for object detection in high-resolution satellite images—0
EOD: The IEEE GRSS Earth Observation Database—0
EOGS: Gaussian Splatting for Earth Observation—0
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
Specialized Change Detection using Segment Anything—0
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations—0
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset—0
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing—0
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities—0
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks—0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
A Perspective on Gaussian Processes for Earth Observation—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation—0
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics—0
Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
Feature Spectrum Learning for Remote Sensing Change Detection—0
Fewshot learning on global multimodal embeddings for earth observation tasks—0
First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems—0
Adaptive and Robust Image Processing on CubeSats—0
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping—0
FlexiMo: A Flexible Remote Sensing Foundation Model—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory—0
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning—0
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization—0
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation—0
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones—0
Standardized Analysis Ready (STAR) data cube for high-resolution Flood mapping using Sentinel-1 data—0
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