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30 October 2009 The remote-sensed image restoration based on GEP algorithm
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749837 (2009) https://doi.org/10.1117/12.832367
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The remote-sensed images may be degraded by some factors during their obtaining. It decreases the quality of the images and becomes an obstacle of the image recognition. So it's very necessary to restore the degraded image. At present, most of the image restoration algorithms are depended on the priori knowledge or a given physical model of the image degeneration. The paper presents a new algorithm for remote-sensed image restoration based on gene expression programming (GEP). The paper needs a reference image at first; then applies the GEP to mine the math function between reference image and degraded image; at last, restores the degraded image with the math function. The experiment results demonstrate that the method is effective and practical.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuli Wang, Xinqing Wang, and Shixiang Li "The remote-sensed image restoration based on GEP algorithm", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749837 (30 October 2009); https://doi.org/10.1117/12.832367
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