Automatic image registration by extraction of interested sub-region

Xuesong Lu; Shengxian Tu; He Su; Hong Huo; Tao Fang

doi:10.1117/12.750467

14 November 2007 Automatic image registration by extraction of interested sub-region

Xuesong Lu, Shengxian Tu, He Su, Hong Huo, Tao Fang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902C (2007) https://doi.org/10.1117/12.750467
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

With the recent increase in the amount of remote sensing images and the corresponding interest in temporal change detection, image registration has become increasingly important as a necessary first step in the integration of multi-temporal or multi-source data, for applications such as the analysis of seasonal and annual global climate changes, as well as land cover changes. Ground Control Point method can be subjective and extremely time-consuming as a result of manual selection of the control point pairs. The intensity-based registration is a solution to this problem. To the larger size images, however, the computational load can be high. In this paper, we develop a new automated registration approach to combine the advantage of two methods. First, a mathematical morphology-based method is used to extract interested sub-region pairs from the reference and floating image. Next, the registration of sub-region pairs is implemented by mutual information. At last the global transformation result will originate from the registration results of these sub-region pairs. By experiment on the larger size remote sensing images, less registration time and subpixel accuracy of registration results can be obtained, which reveal that the proposed registration algorithm is a robust solution.

Citation Download Citation

Xuesong Lu, Shengxian Tu, He Su, Hong Huo, and Tao Fang "Automatic image registration by extraction of interested sub-region", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902C (14 November 2007); https://doi.org/10.1117/12.750467

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KEYWORDS

Image registration

Remote sensing

Image segmentation

Feature extraction

Image processing

Image processing algorithms and systems

Mathematical morphology

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