Hyperspectral image blind correction method based on band selection and PSF estimation

Home > Archive>Volume 35, Issue 6, 2016 >715-722

Hyperspectral image blind correction method based on band selection and PSF estimation
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                        NAN Yi-BingNAN Yi-Bing
Key Laboratory of Photoelectronic Imaging Technology and System (School of Photoelectricity), Beijing Institute of Technology
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GAO KunGAO Kun
Key Laboratory of Photoelectronic Imaging Technology and System (School of Photoelectricity), Beijing Institute of Technology
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NI Guo-QiangNI Guo-Qiang
Key Laboratory of Photoelectronic Imaging Technology and System School of Photoelectricity, Beijing institute of technology
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Affiliation:Key Laboratory of Photoelectronic Imaging Technology and System (School of Photoelectricity), Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System (School of Photoelectricity), Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System School of Photoelectricity, Beijing institute of technology
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Abstract:

Considering the motion complexity of real satellite platform and the difficulty to obtain blur kernel, a hyperspectral image blind correction method based on band selection and PSF estimation was proposed to reduce the influence of spectral redundant information on correction precision. The method combined bicubic interpolation with image deblur algorithm via directional filters. Correction experimental results show that the proposed method can compensate and correct the image motion errors introduced by various unknown satellite motion. Image sharpness is improved, and spectral distortion is also suppressed.

Key words:satellite attitudes, hyperspectral imaging, blind correction, band selection

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NAN Yi-Bing, GAO Kun, NI Guo-Qiang. Hyperspectral image blind correction method based on band selection and PSF estimation[J]. Journal of Infrared and Millimeter Waves,2016,35(6):715~722

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Received:January 12,2016
Revised:October 07,2016
Adopted:July 01,2016
Online: December 06,2016
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