Visualizing the potential impacts of a hurricane on people's homes before it hits can help residents prepare and decide ...

A research team led by Prof. Xie Chengjun and Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a frequency domain-independent feature learning ...

Abstract: Multilabel classification in remote sensing (RS) images aims to correctly predict multiple object labels in an RS image with the primary challenge of mining correlations among multiple ...

To address this challenge, we propose a Knowledge-aware Text–Image Retrieval (KTIR) method for remote sensing images. By mining relevant information from an external knowledge graph, KTIR enriches the ...

Pan-sharpening, a critical technology in remote sensing image processing, combines high-resolution panchromatic images with ...

This repository contains the official codes for MLS-BRN (CVPR 2024), our multi-level supervised building reconstruction network that can flexibly utilize training samples with different annotation ...

SkyEyeGPT SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model Arxiv2024 Paper link EarthGPT EarthGPT: A Universal Multi-modal Large Language Model ...

Prof. Chaudhuri’s insightful presentation on the intriguing subject ‘Analysis of Remotely Sensed Images: Does AI Play Any ...

Declassified 1970s-era U.S. spy satellite imagery has led a British-Iraqi archeological team to what they believe is the site ...

Korea Institute of Civil Engineering and Building Technology (KICT, President Kim Byung-Suk) developed a smart monitoring ...

Declassified 1970s-era U.S. spy satellite imagery has led a British-Iraqi archeological team to what they believe is the site ...

São Sebastião, a municipality on the coast of São Paulo state in Brazil that was partially cut off from the rest of the ...