ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 267-272, 2012
https://doi.org/10.5194/isprsannals-I-7-267-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
17 Jul 2012
EDGE FEATURE MATCHING OF REMOTE SENSING IMAGES VIA PARAMETER DECOMPOSITION OF AFFINE TRANSFORMATION MODEL
T. Chen, W. Gongjian, J. Zhongliang, and Y. Bangwam School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
Keywords: Edge Feature Matching, Affine Transformation Model, Parameter Decomposition, Pixel Migration, GA Abstract. An approach of the edge feature matching of remote sensing images based on parameter decomposition of the affine transformation model is presented. First, the adaptability of affine transformation model used in image matching is analyzed, and parameters of the affine transformation model are decomposed. Second, the sum of squared gradient (SSG) similarity is constructed based on the edge feature in the images, and the parameters of the affine transformation model between the images are solved with the Genetic Algorithms (GA) which is used to obtain the global optimum solution of the similarity. Finally, the performance of the approach is analyzed in theory and validated with remote sensing image matching experiments.
Conference paper (PDF, 1099 KB)


Citation: Chen, T., Gongjian, W., Zhongliang, J., and Bangwam, Y.: EDGE FEATURE MATCHING OF REMOTE SENSING IMAGES VIA PARAMETER DECOMPOSITION OF AFFINE TRANSFORMATION MODEL, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 267-272, https://doi.org/10.5194/isprsannals-I-7-267-2012, 2012.

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