DocumentCode
714674
Title
Local spectral gradient based gas detection in LWIR hyperspectral images
Author
Cesmeci, Davut ; Karaca, Ali Can ; Erturk, Alp ; Erturk, Sarp
Author_Institution
Kocaeli Univ. Isaret ve Goruntu Isleme Laboratuvari (KULIS), Kocaeli Univ., Kocaeli, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
2166
Lastpage
2169
Abstract
In this work, the use of local gradient features of spectral signatures with spectral angle mapper for target detection in long wave infrared hyperspectral images is proposed. The proposed method is tested for gas detection and experimental results show that utilizing local gradient features improve the performance.
Keywords
chemistry computing; hyperspectral imaging; image recognition; infrared imaging; spectrochemical analysis; LWIR hyperspectral images; gas detection; local gradient features; local spectral gradient; long wave infrared hyperspectral images; spectral angle mapper; spectral signatures; target detection; Feature extraction; Hyperspectral imaging; Matched filters; Object detection; Wavelet packets; component; hyperspectral; local gradiant features; long-wave infrared; spectral angle mapper;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130302
Filename
7130302
Link To Document