Share Email Print
cover

Proceedings Paper

The remote-sensed image restoration based on GEP algorithm
Author(s): Yuli Wang; Xinqing Wang; Shixiang Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749837 (30 October 2009); doi: 10.1117/12.832367
Show Author Affiliations
Yuli Wang, China Univ. of Geosciences (China)
Xinqing Wang, China Univ. of Geosciences (China)
Shixiang Li, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top