Study and implementation of parallel registration algorithm for multimodality remote-sensing images based on mutual information

Jing Zhou; HaiFang Zhou; Yuhua Tang

doi:10.1117/12.832354

30 October 2009 Study and implementation of parallel registration algorithm for multimodality remote-sensing images based on mutual information

Jing Zhou, HaiFang Zhou, Yuhua Tang

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983D (2009) https://doi.org/10.1117/12.832354
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Image registration is an important step of many practical problems, such as image fusion, image analysis and image inlaying. This paper proposes and implements an automatic image registration algorithm with high precision based on character points as well as its corresponding parallel algorithm. The algorithm applies Forstner arithmetic operator to pick up character points and for the first time uses local normalized mutual information to search their matching points. The normalized mutual information is computed using highly precise Parzen window method. Then single-point least square method is employed to search the matching points precisely, which are used together with the character points to compute the transformation parameters. Then the algorithm uses quadratic polynomial transformation to register the images. Based on the analysis of performance of the serial algorithm, the paper proposes and implements its corresponding parallel algorithm. The algorithm parallelizes each step according to its characteristic and gives the strategy of data distribution. The experimental results show that the parallel algorithm gets high efficiency and thus has good scalability and applicability.

Citation Download Citation

Jing Zhou, HaiFang Zhou, and Yuhua Tang "Study and implementation of parallel registration algorithm for multimodality remote-sensing images based on mutual information", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983D (30 October 2009); https://doi.org/10.1117/12.832354

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