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https://hdl.handle.net/20.500.11851/6843| Title: | Hyperspectral Target Detection - An Experimental Study | Authors: | Günyel, Bertan Cinbiş, Ramazan Gökberk Türe, Sedat Gürbüz, Ali Cafer |
Keywords: | hyperspectral target detection spectral signature machine learning |
Publisher: | IEEE | Source: | 23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY | Series/Report no.: | Signal Processing and Communications Applications Conference | 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. | URI: | https://hdl.handle.net/20.500.11851/6843 | ISBN: | 978-1-4673-7386-9 | ISSN: | 2165-0608 |
| Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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