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Proceedings Paper

Multispectral image registration with multiresolution local template matching
Author(s): Wenzhong Wei
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Paper Abstract

Image registration is needed in multi-spectral image fusion when images are taken from different viewpoints, or at different times, or by different optics systems. For multispectral images with global 2D distortions, such as translations, rotation, and scaling, we present a new image registration algorithm using local template matching. After preprocessing the multi-spectral images to make them fit to the task, we employ the local maximum or minimum energy points of wavelet transformation data as feature points of local multi-resolution templates. In coarse matching approach, the affine transformation to template image needed in traditional template matching method is avoid. Experimental results show that this algorithm is efficient and robust.

Keywords: Image registration, Template matching, Algorithm, Wavelet transformation, Multispectral imag

Paper Details

Date Published: 17 August 1998
PDF: 6 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317798
Show Author Affiliations
Wenzhong Wei, China North Opto-Electro Industries Corp. (China)


Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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