Hybrid approach for remote sensing image registration

Chunlei Huo; Keming Chen; Zhixin Zhou; Hanqing Lu

doi:10.1117/12.749592

14 November 2007 Hybrid approach for remote sensing image registration

Chunlei Huo, Keming Chen, Zhixin Zhou, Hanqing Lu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679006 (2007) https://doi.org/10.1117/12.749592
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Remote sensing image registration is the key issue for change detection. To reduce the effects of misregistration on the accuracy of change detection, a hybrid registration method is proposed in this paper. First, we use the registration approach based on SIFT(Scale Invariant Feature Transform) to get the initial parameters, and then area-based method is employed to refine the performance of registration. In order to improve the efficiency of computation, the multiresolution based coarse-to-fine strategy is adopted during the refined procedure. In contrast with feature-based or area-based method, our hybrid method is accurate, robust and automated since it integrates the merits of both approaches. The experiments on simulated and real images show the promising performance of the proposed method.

Citation Download Citation

Chunlei Huo, Keming Chen, Zhixin Zhou, and Hanqing Lu "Hybrid approach for remote sensing image registration", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679006 (14 November 2007); https://doi.org/10.1117/12.749592

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