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A Saliency-Based Band Selection Approach for Hyperspectral Imagery Inspired by Scale Selection | IEEE Journals & Magazine | IEEE Xplore

A Saliency-Based Band Selection Approach for Hyperspectral Imagery Inspired by Scale Selection

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Abstract:

This letter presents a band selection method relying on saliency bands and scale selection (SBSS). The SBSS method is used to excavate the hidden information of hyperspec...Show More

Abstract:

This letter presents a band selection method relying on saliency bands and scale selection (SBSS). The SBSS method is used to excavate the hidden information of hyperspectral images effectively, while its underlying assumptions are: 1) it is reasonable to combine spectral and spatial information to excavate the intrinsic property of a hyperspectral image; 2) there are some saliency bands that can represent a hyperspectral image without significant information loss in data exploitation; and 3) saliency, scale, and image description have an intrinsic connection. The computational complexity of the SBSS method is linear, and experimental results demonstrate that the proposed method obtains competitively good results compared with other state-of-the-art band selection techniques, in terms of classification accuracy.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 15, Issue: 4, April 2018)
Page(s): 572 - 576
Date of Publication: 02 March 2018

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