Image and Signal Processing Methods

High spatial resolution image restoration from subpixel-shifted hyperspectral images

[+] Author Affiliations
Lijuan Su, Shubo Zhou, Yan Yuan

Beihang University, Key Laboratory of Precision Opto-mechatronics Technology of Ministry of Education, Xueyuan Road No. 37, Haidian District, Beijing 100191, China

J. Appl. Remote Sens. 9(1), 095093 (Feb 26, 2015). doi:10.1117/1.JRS.9.095093
History: Received November 5, 2014; Accepted January 30, 2015
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Abstract.  The spatial resolution of hyperspectral imaging systems is constrained by a spatial-spectral resolution tradeoff and current technique limitations. However, spatial resolution is a critical feature for applications that require high spatial resolution and utilization of details. We present a method of restoring high-resolution (HR) images from a set of low-resolution (LR) hyperspectral data cubes with subpixel shifts across different bands. A new observation model is introduced to demonstrate LR hyperspectral images at different bands and an HR image that covers all these bands. A regularized super-resolution (SR) algorithm is then implemented to solve the problem. Experiments of the proposed algorithm and existing SR algorithms are performed and the results are evaluated. The results demonstrate the feasibility of the proposed SR method. Moreover, the image fusion results also demonstrate that the restored image is suitable for enhancing the spatial resolution of entire hyperspectral data cubes.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Lijuan Su ; Shubo Zhou and Yan Yuan
"High spatial resolution image restoration from subpixel-shifted hyperspectral images", J. Appl. Remote Sens. 9(1), 095093 (Feb 26, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095093


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