Forensic Chemistry, Third Edition, the new edition of this ground-breaking book, continues to
serve as the leading forensic chemistry text on the market. Fully updated, this edition …

Abstract Hyperspectral Image Classification (HSIC) has gained much attention for several
real-world problems in which an appropriate number of labeled training samples are …

Deep learning has achieved promising performance in hyperspectral image (HSI)
classification. Training deep models usually requires labeling massive HSIs, which …

Active Learning (AL) for Hyperspectral Image Classification (HSIC) has been extensively
studied. However, the traditional AL methods do not consider randomness among the …

Explosive detection is crucial for public safety and confidence. Among various solutions for
this purpose, hyperspectral imaging differs from its alternatives with its detection capability …

This paper introduces a novel framework for estimating the spectral power distribution of
daylight illuminants in uncalibrated hyperspectral images, particularly beneficial for drone …

Existing graph-based, semi-supervised hyperspectral image (HSI) classification models
often suffer from prolonged execution time due to high computational complexity. In this …

Shadowy areas present a big hindrance in target detection from HSI, as the reflectance data
received from target materials is significantly diminished when measured from shadowy …

Recently, the utilization of hyperspectral images containing several hundred wavelength
information has been increasing in various fields. If a hyperspectral image can be estimated …

In today's generation, technology plays a major role. We even tend to forget our meal
schedule. There are also mobile applications that get access to our mobile's time and …