Title :
Ability of utilization of PCA in hyperspectral anomaly detection
Author :
Racek, Frantisek ; Balaz, Teodor ; Melsa, Pavel
Author_Institution :
Univ. of Defence, Brno, Czech Republic
Abstract :
Hyperspectral (HS) imaging is a complex way of taking the image of the scenery, where the rich spectral information is collected for any pixel of HS image. The rich spectral information can consequently be used for finding objects or identifying specific material in military utilization of HS imaging. Finding the objects as a spectral anomaly is one of specific tasks of HS image processing.
Keywords :
hyperspectral imaging; image processing; military computing; object detection; principal component analysis; HS image pixel; HS image processing; HS imaging; PCA; hyperspectral anomaly detection; hyperspectral imaging; material identification; military utilization; rich spectral information; Covariance matrices; Data models; Detectors; Eigenvalues and eigenfunctions; Hyperspectral imaging; Matched filters; Principal component analysis; anomaly detection; hyperspectral imaging; principal component analysis;
Conference_Titel :
Military Technologies (ICMT), 2015 International Conference on
Conference_Location :
Brno
Print_ISBN :
978-8-0723-1976-3
DOI :
10.1109/MILTECHS.2015.7153683
