A new prediction method was tested with satellite remote sensing and species distribution data over 20 years in Andalusia, ...

A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the ...

Approximately 30% of global carbon dioxide (CO2) emissions are removed by terrestrial vegetation through photosynthesis.

UN-SPIDER has released a new Recommended Practice that improves flood mapping by integrating Synthetic Aperture Radar (SAR) ...

The Sanborn Map Company, Inc. (Sanborn), a leading provider of remote sensing and geophysical survey solutions, has expanded ...

While previous studies have explored its application in high-resolution remote sensing image processing, challenges such as high computational cost and slow training speed persist. The core issue ...

This method not only reduces the computational burden critical for large-scale remote sensing imagery ... In aerial images with a spatial resolution of less than one meter, the developed pipeline ...

Abstract: Super-resolution (SR) is a fundamental and crucial task in remote sensing. It can improve low-resolution (LR) remote sensing images and has potential benefits for downstream tasks such as ...

To address these limitations, this article proposes a novel watermarking algorithm based on blockchain and stacked denoising autoencoder (SDAE) to achieve lossless copyright protection for ...