Abstract: Hyperspectral remote sensing images capture detailed spectral characteristics of features, while multispectral remote sensing images provide clear spatial distribution. Fusing these two ...

This Research Topic aims to present original research concerning computer models and simulation results, as well as the use of remote sensing with RGB, Multispectral, and Hyperspectral, as well as ...

Comprehensive evaluations on three publicly available RGB-band remote sensing datasets and two hyperspectral datasets validate the superior effectiveness of our proposed BAN. BAN improves the average ...

Airborne hyperspectral remote sensing data provide rapid, non-destructive, and near laboratory quality reflectance spectra for mineral mapping and lithological discrimination, thereby ushering an ...

This repository contains codes, models and test results for the paper "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model". We resort to plain vision transformers with about ...

Multispectral image pairs can provide the combined information, making object detection applications more reliable and robust in the open world. To fully exploit the different modalities, we present a ...

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 ...

Satellites are playing an important role in putting food on our tables and are set to become even more vital, according to a University of Leicester earth observation expert.

Smart farming is the way of the future, requiring the adoption of technologies such as IoT, cloud computing, Industry 4.0 and ...

Here we present an integrated optofluidic platform that addresses this critical point by combining advanced hyperspectral imaging with self-referencing and measurement ... thereby showcasing the ...