Fast detecting difficult targets such as subpixel objects is a fundamental challenge for
anomaly detection (AD) in hyperspectral images. In an attempt to solve this problem, this …

Anomaly detection has received considerable interest for hyperspectral data exploitation
due to its high spectral resolution. A well-known algorithm for hyperspectral anomaly …

Recently anomaly detection (AD) has become an important application for target detection in
hyperspectral remotely sensed images. In many applications, in addition to high accuracy of …

Target detection at sub‐pixel abundances is, in fact, one of the challenging issues of
hyperspectral image processing. Selection of optimal bands to improve sub‐pixel target …

In this article we describe the end-to-end processing of image Fourier transform
spectrometry data taken at Picatinny Arsenal in New Jersey with the long-wave …

This paper describes the end-to-end processing of image Fourier transform spectrometry
data taken of surrogate tank targets at Picatinny Arsenal in New Jersey with the long-wave …

The general objective of anomaly detection (AD) in hyperspectral imagery is to detect full-
pixel targets. To meet this purpose, the global AD methods can achieve more reliable results …

Anomaly Detection (AD) has recently become an important application of target detection in
hyperspectral images. The Reed-Xialoi (RX) is the most widely used AD algorithm that …

Abstract A Brain Computer Interface (BCI) is a system which allows direct communication
between the brain and a computer. It can be used to allow paralyzed as well as healthy …

Anomaly Detection (AD) has recently become an important application of hyperspectral
images analysis. The goal of these algorithms is to find the objects in the image scene which …