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 ...

A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and remove plastic debris from freshwater environments like the ...

This repo is used for recording, and tracking recent Remote Sensing Temporal Vision-Language Models (RS-TVLMs). If you find any work missing or have any suggestions (papers, implementations, and other ...

The researchers said the tradeoff between overhead and protecting machines against vulnerabilities is from a ‘one-size-fits-all’ approach.

A new approach to digital imaging promises to ramp up resolution, with potential applications in astronomy and remote sensing ... digital image sensors (DIS) capture light by sampling the light ...

Abstract: Deblurring in remote sensing images is a challenging task due to the long-range imaging capabilities of remote sensing sensors, which often results in image blur. Factors contributing to ...

The group focuses on observing and modeling coastal processes including beach evolution, cliff erosion, and nearshore waves. CW3E provides water cycle science, technology and outreach to support ...

Such comprehensive sensing technology capabilities in image sensor technology are one of the strengths that differentiates us from our competitors, and we aim to strengthen our business by further ...

Abstract: Recently, multi-modal large language models (MLLMs) have shown excellent reasoning capabilities in various fields. Most of the existing remote sensing MLLMs solve image-level text generation ...

Offered by the Department of Earth Sciences at The Faculty of Science ...

Rouverson Pereira da Silva, Professor, São Paulo State University By using artificial intelligence tools, sensors in agricultural machinery, and remote sensing technologies like satellite or drone ...

Thin, crystalline films inspired by polarisation vision of desert ants helped team to beat bulkiness challenge, Science ...