Hyperspectral image restoration using wavelets

Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson; Jon Atli Benediktsson

doi:10.1117/12.2029240

17 October 2013 Hyperspectral image restoration using wavelets

Behnood Rasti, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jon Atli Benediktsson

Proceedings Volume 8892, Image and Signal Processing for Remote Sensing XIX; 889207 (2013) https://doi.org/10.1117/12.2029240
Event: SPIE Remote Sensing, 2013, Dresden, Germany

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.

Citation Download Citation

Behnood Rasti, Johannes R. Sveinsson, Magnus O. Ulfarsson, and Jon Atli Benediktsson "Hyperspectral image restoration using wavelets", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 889207 (17 October 2013); https://doi.org/10.1117/12.2029240

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