Automatic registration of SAR and optical images based on linear features and neural network

Yanli Wang; Zhe Chen

doi:10.1117/12.539036

25 September 2003 Automatic registration of SAR and optical images based on linear features and neural network

Yanli Wang, Zhe Chen

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539036
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

An automatic SAR and optical image registration approach based on linear features and neural network is proposed. First, fuzzy linear feature extraction algorithm is used and common straight line segments between SAR and optical images are kept for matching primitives. Then discrete relaxation method is adopted to get acceptable matched primitives of two images and the crossing points of these matched line segments are taken as control points of image registration. Lastly, neural network is employed to realize theimage transformation and resampling. The experimental results are given and show that the proposed image registration approach can resolve the registration of SAR and optical images including long and thin objects effectively.

Citation Download Citation

Yanli Wang and Zhe Chen "Automatic registration of SAR and optical images based on linear features and neural network", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539036

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