Abstract: In hyperspectral image (HSI) classification, convolutional neural networks (CNNs) excel at local feature modeling but are limited to Euclidean space. Transformers offer long-range dependency ...

Abstract: Band selection is an effective dimensionality reduction technique for hyperspectral image (HSI). In recent years, many unsupervised band selection methods have been proposed, but most of ...

Hyperspectral imaging is a technique that collects and processes information across the electromagnetic spectrum to obtain the spectrum for each pixel in an image. This allows for the identification ...

We used an in-greenhouse controlled HSI dataset of Kochia leaves in order to classify three different herbicide-resistance levels (herbicide-susceptible, dicamba-resistant, and glyphosate-resistant).

Six meters long and constructed from eight joined sections of parchment, Charlie captured images of the roll at 400 different wavelengths of light using a hyperspectral camera. A prototype frame was ...

In contrast, the ATLD method consistently exhibits a larger spectral angle ... further confirming the effectiveness of these methods in correcting spectral variations caused by changes in instrumental ...

Institute of Physical Chemistry (IPC) and Abbe School of Photonics (ASP), Friedrich-Schiller-Universität Jena, Helmholtzweg 4, 07743 Jena, Germany ...

Getty Images The art of alternating between hot and cold — also known as contrast therapy — yields plenty of health benefits, and while it may be the newest wellness trend, it’s actually an ...

Its QD-OLED panel delivers a high-contrast image with vivid colors, wide viewing angles, and impressive brightness for this class. The S90D offers the most impressive balance between picture ...