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Proceedings Paper

A self-adaptive image registration method: from local learning to overall processing
Author(s): Peng Ye; Na Li; Fang Liu; Juhong Wu; Guirong Guo
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Paper Abstract

Image registration is a fundamental and crucial step in remote sensing image analysis. However, it is known that image registration method is application-based. The type and content of remote sensing images affect the choice of image registration methods. Previous image registration task took experts to manually choose the image registration elements. This paper presents a self-adaptive image registration method which could automatically choose registration elements which are more appropriate for remote sensing images under processing. The proposed method first chooses several local regions for the representation of the whole image, and then different registration elements are tested on these local regions. The local registration results are evaluated and the registration of the whole image is done with learned registration elements from local registrations. The registration chain is automatic; therefore it is a self-adaptive registration method. The proposed method is demonstrated on several real remote sensing image pairs, and its feasibility and superiority are proved by the results.

Paper Details

Date Published: 17 October 2013
PDF: 7 pages
Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88920D (17 October 2013); doi: 10.1117/12.2029059
Show Author Affiliations
Peng Ye, National Univ. of Defense Technology (China)
Na Li, National Univ. of Defense Technology (China)
Fang Liu, National Univ. of Defense Technology (China)
Juhong Wu, National Univ. of Defense Technology (China)
Guirong Guo, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 8892:
Image and Signal Processing for Remote Sensing XIX
Lorenzo Bruzzone, Editor(s)

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