DocumentCode
2876657
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
fYear
2015
fDate
16-19 May 2015
Firstpage
2627
Lastpage
2630
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130427
Filename
7130427
Link To Document