BAND REDUCTION FOR TARGET DETECTION IN HYPERSPECTRAL IMAGES

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Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
Volume:62 Issue:1
BAND REDUCTION FOR TARGET DETECTION IN HYPERSPECTRAL IMAGES

BAND REDUCTION FOR TARGET DETECTION IN HYPERSPECTRAL IMAGES

Authors : Murat ŞİMŞEK, Hakki Alparslan ILGIN

Pages : 53-62

Doi:10.33769/aupse.676083

View : 16 | Download : 9

Publication Date : 2020-06-30

Article Type : Research Paper

Abstract :Due to the high spectral resolution, hyperspectral images need large data storage and processing time. Indeed, its high dimensional structure requires high computational complexity, especially for target detection. In order to overcome these problems, band reduction methods have been proposed. In this paper, we compare PCA and SNR-based band reduction methods to improve target detection performance in hyperspectral images. Experimental results show that band reduction methods not only reduce processing time, but also increase accuracy rate.
Keywords : Hyperspectral image, band reduction, target detection

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