Multispectral image registration with multiresolution local template matching

Wenzhong Wei

doi:10.1117/12.317798

17 August 1998 Multispectral image registration with multiresolution local template matching

Wenzhong Wei

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317798
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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

Citation Download Citation

Wenzhong Wei "Multispectral image registration with multiresolution local template matching", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317798

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KEYWORDS

Wavelets

Image registration

Multispectral imaging

3D image processing

Feature extraction

Image fusion

Reconstruction algorithms

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