remote sensing

GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis
The continuous operation of Earth-orbiting satellites generates vast and ever-growing archives of Remote Sensing (RS) images. Natural …
PDF Cite Code Dataset URL
Mind the modality gap: Towards a remote sensing vision-language model via cross-modal alignment
Deep Learning (DL) is undergoing a paradigm shift with the emergence of foundation models. In this work, we focus on Contrastive …
PDF Cite Code URL
Kuro Siwo: 12.1 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
Global floods, exacerbated by climate change, pose severe threats to human life, infrastructure, and the environment. This urgency is …
PDF Cite Code Dataset
Kuro Siwo: 12.1 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
Data curation and model finetuning for burnt area mapping
Orion Lab has assembled a novel benchmark dataset, namely FLOGA [1], for the mapping of burnt areas in the Greek region. The dataset comprises bitemporal image acquisitions from Sentinel-2 and MODIS satellites and the ground truth labels are photointerpretation mappings produced by Hellenic Fire Brigade experts.
Data curation and model finetuning for burnt area mapping
A sentinel-2 multiyear, multicountry benchmark dataset for crop classification and segmentation with deep learning
Add the full text or supplementary notes for the publication here using Markdown formatting.
Cite Code Dataset URL
Deep learning for downscaling remote sensing images: Fusion and super-resolution
Add the full text or supplementary notes for the publication here using Markdown formatting.
Cite URL