Image and Signal Processing Methods

Anisotropy regularization-based restoration of imaging process in line-scanning spectrometer

[+] Author Affiliations
Ran Wei, Ye Zhang, Yushi Chen

Harbin Institute of Technology, School of Electronic and Information Engineering, Department of Information Engineering, No. 92, Xi Da Zhi Street, Harbin 150001, China

J. Appl. Remote Sens. 9(1), 095078 (May 28, 2015). doi:10.1117/1.JRS.9.095078
History: Received December 28, 2014; Accepted April 10, 2015
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Abstract.  Hyperspectral image (HSI) restoration is a technique to inverse the information degradation process that occurs on a hyperspectral imaging system, i.e., spectrometer. Spectrometers can be classified as two types: plane-scanning and line-scanning spectrometers. It is necessary for a restoration algorithm to match the corresponding degradation process. However, most current restoration algorithms are only suitable to the former one. To solve such a mismatch of restoration algorithms to the imaging process in this paper, a new framework of HSI restoration is proposed. Compared to the existing frameworks, the proposed one is more applicable to a line-scanning spectrometer. Moreover, to solve the ill-posedness of such a framework, an anisotropy regularization term combining a vertical total variation and a linear spectral mixture is designed. Experimental results based on two simulation datasets, Pavia and San Diego, proved the effectiveness of the proposed framework and regularization term.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Ran Wei ; Ye Zhang and Yushi Chen
"Anisotropy regularization-based restoration of imaging process in line-scanning spectrometer", J. Appl. Remote Sens. 9(1), 095078 (May 28, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095078


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