Abstract: Hyperspectral remote sensing image feature selection enhances the efficiency of further applications by extracting band information. However, it is challenging to optimize and extract the ...

Pest management has seen significant advancements in integrating modeling, remote sensing, and machine learning (ML).

Remote sensing technology In the coming years will see significant development in AI integration, improving data processing and predictive capabilities. The rise of small satellites and CubeSats will ...

Their hyperspectral imagers are used around the world in factories ... 2,23 kg, making them a great choice for remote sensing in the NIR regime. The Pika L, Pika IR-L and the Pika IR-L+ can fly on ...

Hyperspectral imaging, traditionally used for airborne remote sensing, is now becoming a valuable tool for in-line inspection and quality control. Hyperspectral imaging is a well-established ...

Abstract: Hyperspectral imaging (HSI) can capture a large amount of spectral information at various wavelengths, enabling detailed material classification and identification, making it a key tool in ...

Hubbard, who first joined the USGS as a postdoc, is part of the agency’s Earth Mapping Resource Initiative (Earth MRI).

“With this satellite, Xplore is delivering the highest spatial resolution hyperspectral data currently available among commercial remote sensing companies worldwide.” XCUBE-1 will provide ...

Hyperspectral imaging is a powerful technology used in various fields, including remote sensing, agriculture, and environmental monitoring. It captures a wide spectrum of light across many ...

China’s Ceres-1 rocket successfully deployed five satellites, advancing commercial space initiatives for weather and remote sensing applications.