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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130302
