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Proceedings Paper

A novel super resolution scheme to acquire and process satellite images
Author(s): Dong-yu Yin; Xiaofeng Su; Jian-chun Lin; Gan-quan Wang; Ding-bo Kuang
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Paper Abstract

Geosynchronous satellite has obvious limitations for the weight and the scale of payloads, and large aperture optical system is not permitted. The optical diffraction limit of small aperture optical system has an adverse impact on the resolution of the acquired images. Therefore, how to get high resolution images using super-resolution technique with the acquired low resolution images becomes a popular problem investigated by researchers. Here, we present a novel scheme to acquire low resolution images and process them to achieve a high resolution image. Firstly, to acquire low resolution images, we adopt a special arrangement pattern of four CCD staggered arrays on the focal plane in the remote sensing satellite framework .These four CCD linear arrays are parallelized with a 0.25√2 pixel shift along the CCD direction and a 1.25 pixel shift along the scanning direction. The rotation angle between the two directions is 45 degree. The tilting sampling mode and the special arrangement pattern allow the sensor to acquire images with a smaller sampling interval which can give the resolution a greater enhancement. Secondly, to reconstruct a high resolution image of pretty good quality with a magnification factor 4, we propose a novel algorithm based on the iterative-interpolation super resolution algorithm (IISR) and the new edge-directed interpolation algorithm (NEDI). The new algorithm makes a critical improvement to NEDI and introduces it into the multi-frame interpolation in IISR. The algorithm can preserve the edges well and requires a relatively small number of low-resolution images to achieve better reconstruction accuracy .In the last part of the paper, we carry out a simulation experiment, and use MSE as the quality measure. The results demonstrate that our new scheme substantially improves the image resolution with both better quantitative quality and visual quality compared with some previous normal methods.

Paper Details

Date Published: 11 September 2013
PDF: 10 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89070Z (11 September 2013); doi: 10.1117/12.2031886
Show Author Affiliations
Dong-yu Yin, Key Lab. of Infrared System Detection and Imaging Technology (China)
Shanghai Institute of Technical Physics (China)
Xiaofeng Su, Shanghai Institute of Technical Physics, Chinese Academy of Sciences (China)
Jian-chun Lin, Key Lab. of Infrared System Detection and Imaging Technology (China)
Shanghai Institute of Technical Physics (China)
Gan-quan Wang, Key Lab. of Infrared System Detection and Imaging Technology (China)
Shanghai Institute of Technical Physics (China)
Ding-bo Kuang, Key Lab. of Infrared System Detection and Imaging Technology (China)
Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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