Title :
Hyperspectral target detection - An experimental study
Author :
Gunyel, Bertan ; Cinbis, Ramazan Gokberk ; Ture, Sedat ; Gurbuz, Ali Cafer
Author_Institution :
Milsoft Yazilim Teknolojileri, Ankara, Turkey
Abstract :
In hyperspectral imaging, the measured spectra are affected by the materials and objects that reside within or in close vicinity of the pixel which is being imaged. The detection of a material or object of interest in an imaged region is a common problem in various application areas. In this work, an experimental study is performed for target detection in hyperspectral images, supported by a performance comparison.
Keywords :
hyperspectral imaging; object detection; hyperspectral imaging; hyperspectral target detection; material detection; object detection; Hyperspectral imaging; Matched filters; Object detection; Reactive power; Support vector machines; hyperspectral target detection; machine learning; spectral signature;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130427
