In hyperspectral unmixing, the prevalent model used is the linear mixing model, and a large
variety of techniques based on this model has been proposed to obtain endmembers and …

Anomaly detection is an important technique for hyperspectral image (HSI) processing. It
aims to find pixels that are markedly different from the background when the target spectrum …

Through the years, graph theory has gradually been applied in hyperspectral image (HSI)
processing. The graph theory method does not need to consider the structural …

Superpixel segmentation algorithms attempt to group contiguous image pixels which are in
homogeneous regions into segments (superpixels). Superpixel segmentation maps have …

Abstract The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has proven
to be an invaluable tool for the mineralogical analysis of the Martian surface. It has been …

We propose an anomaly detection algorithm for hyperspectral images based on Dirichlet
process mixture (DPM) models. For this purpose, we first apply an unsupervised background …

In this paper, we propose a new nonlinear approach which uses graphs for detecting
endmembers in hyperspectral images. Endmembers are defined as the purest points of the …