15 November 2007 Matching SAR image to optical image using modified Hausdorff distance and genetic algorithms
Author Affiliations +
Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 678820 (2007); doi: 10.1117/12.750623
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
A novel algorithm for matching synthetic aperture radar (SAR) image to Optical image based on lineal feature using Hausdorff distance combined with genetic algorithm is proposed in this paper. A new method is presented to extract lineal feature from low signal to noise ratio (SNR) SAR image. Based on the edge image from SAR and Optical image, modified Hausdorff distance is adopted as a similarity measure because it is insensitive to noise. Genetic algorithm is used as searching strategy to achieve high computation speed for its inertial parallel. Experimental results using real SAR and Optical images demonstrate that the algorithm is robust, fast and can achieve high matching accuracy.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haicen Mao, Qiuze Yu, Tianxu Zhang, "Matching SAR image to optical image using modified Hausdorff distance and genetic algorithms", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 678820 (15 November 2007); doi: 10.1117/12.750623; https://doi.org/10.1117/12.750623
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

An adaptive method for interferometric phase noise filtering
Proceedings of SPIE (September 25 2003)
Image correlation under full-perspective distortion
Proceedings of SPIE (June 26 1996)
Missing pixel correction algorithm for image sensors
Proceedings of SPIE (September 07 1998)
Automated image registration with ARACHNID
Proceedings of SPIE (May 25 2005)
Error analysis of dispersively registered digital images
Proceedings of SPIE (October 22 2004)

Back to Top