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Information-theoretic noisy band detection in hyperspectral imagery (Hiperspektral görüntülerde gürültülü bantların bilişim kuramsal tespiti)

Ergül, Mustafa and Nar, Fatih and Akyılmaz, Emre and Şen, Nigar and Çetin, Müjdat (2015) Information-theoretic noisy band detection in hyperspectral imagery (Hiperspektral görüntülerde gürültülü bantların bilişim kuramsal tespiti). In: 23th Signal Processing and Communications Applications Conference (SIU 2015), Malatya

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Official URL: http://dx.doi.org/10.1109/SIU.2015.7130429

Abstract

Hyperspectral imagery consists of hundreds of successive bands that carry spectral information about the underlying materials at various wavelengths. However, due to practical factors such as atmospheric effects and sensor characteristics, some spectral bands contain high amounts of noise. In this paper, an effective information-theoretic algorithm based on mutual information that automatically detects such noisy bands is proposed. The effectiveness and accuracy of the proposed approach is validated on hyperspectral images collected by the AVIRIS and TELOPS sensors. Experimental results show that the proposed method outperforms the other algorithms in the literature.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:hyperspectral denoising; noisy band detection; mutual information; information theory; hyperspectral image processing.
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:28913
Deposited By:Müjdat Çetin
Deposited On:24 Dec 2015 13:23
Last Modified:24 Dec 2015 13:23

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