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Proceedings Paper

Hyperspectral image restoration using wavelets
Author(s): Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson; Jon Atli Benediktsson
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Paper Abstract

In this paper a new hyperspectral image based on wavelets and sparse regularization is proposed. This new method is called Wavelet Based Sparse Restoration (WBSR). The hyperspectral signal is restored by utilizing penalized least squares and the `1 penalty. Iterative Soft Thresholding (IST) algorithm is used to solve the convex optimization problem. It is shown that not only WBSR improves the denioising results both visually and based on Signal to Noise Ratio (SNR) but also increases the classification accuracies.

Paper Details

Date Published: 17 October 2013
PDF: 9 pages
Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 889207 (17 October 2013); doi: 10.1117/12.2029240
Show Author Affiliations
Behnood Rasti, Univ. of Iceland (Iceland)
Johannes R. Sveinsson, Univ. of Iceland (Iceland)
Magnus O. Ulfarsson, Univ. of Iceland (Iceland)
Jon Atli Benediktsson, Univ. of Iceland (Iceland)

Published in SPIE Proceedings Vol. 8892:
Image and Signal Processing for Remote Sensing XIX
Lorenzo Bruzzone, Editor(s)

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