A self-adaptive image registration method: from local learning to overall processing

Peng Ye; Na Li; Fang Liu; Juhong Wu; Guirong Guo

doi:10.1117/12.2029059

17 October 2013 A self-adaptive image registration method: from local learning to overall processing

Peng Ye, Na Li, Fang Liu, Juhong Wu, Guirong Guo

Proceedings Volume 8892, Image and Signal Processing for Remote Sensing XIX; 88920D (2013) https://doi.org/10.1117/12.2029059
Event: SPIE Remote Sensing, 2013, Dresden, Germany

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.

Citation Download Citation

Peng Ye, Na Li, Fang Liu, Juhong Wu, and Guirong Guo "A self-adaptive image registration method: from local learning to overall processing", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88920D (17 October 2013); https://doi.org/10.1117/12.2029059

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