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Proceedings Paper

Superresolution remote sensing image processing algorithm based on wavelet transform and interpolation
Author(s): Hongjiu Tao; Xinjian Tang; Jian Liu; Jinwen Tian
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Paper Abstract

According to characteristic of image wavelet transform and interpolation, this paper proposes a remote sensing image interpolation method combining wavelet transform and interpolation algorithm, which can improve the remote sensing image resolution. Experiments show that the algorithm can properly retain abundant high frequency information in original remote sensing image. After interpolation processing and wavelet reconstruction, we can obtain a remote sensing image with higher resolution, better visual effect, higher Signal Noise Ratio (SNR), more detail information and no apparent warp. Therefore, this algorithm is an effective method of super-resolution remote sensing image processing.

Paper Details

Date Published: 11 June 2003
PDF: 5 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.468078
Show Author Affiliations
Hongjiu Tao, Wuhan Univ. of Technology (China)
Huazhang Univ. of Science and Technology (China)
Xinjian Tang, Huazhong Univ. of Science and Technology (China)
Jian Liu, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

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