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