DocumentCode :
714732
Title :
Hyperspectral image classification using Daisy descriptor
Author :
Meric, Merve ; Igit, Sevil ; Erturk, Sarp
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu, Kocaeli Univ., Kocaeli, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
2450
Lastpage :
2453
Abstract :
In this paper it is proposed to use the Daisy descriptor approach to increase classification accuracy in Hyperspectral images. In this descriptor approach, a new descriptor is constructed by applying the spectral data to multiple low-pass filters with different pass frequencies. This approach was applied in the spatial domain to visible range images before; and is in this paper applied in the spectral domain to hyperspectral images for the first time. It is shown in this paper that the classification accuracy is increased in hyperspectral images, using nearest neighbor classification.
Keywords :
hyperspectral imaging; image classification; low-pass filters; Daisy descriptor; hyperspectral image classification; multiple low-pass filters; nearest neighbor classification; pass frequency; spatial domain; spectral domain; visible range images; Hyperspectral image; classification; daisy descriptor; nearest neighborhood method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130378
Filename :
7130378
Link To Document :
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