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Proceedings Paper

A coarse-to-fine automatic and robust registration method for multi-source remote sensing images based on Harris and phase information
Author(s): Haichao Li; Yiyun Man
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Paper Abstract

The image phase coherences (PCs) remain invariant when brightness and contrast changes. A new method of remote sensing image registration is proposed. PCs are firstly extracted from the reference image and the input image. In order to improve the registration efficiency, in the first step the PCs are firstly down-sampled using Gaussian pyramid method, and the coarse translation parameters are calculated using phase correlation. In the second step, Harris corners are detected from the two images, and normalized cross-correlation (NCC) function based on PCs is used to find the corresponding matching corners of the two images, and then obtain parameters of an alignment transform model. Experiments have demonstrated that the coarse-to-fine method can be successfully applied to multi-source images registration.

Paper Details

Date Published: 8 October 2015
PDF: 4 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750M (8 October 2015); doi: 10.1117/12.2197787
Show Author Affiliations
Haichao Li, Qian Xuesen Lab. of Space Technology (China)
Yiyun Man, Qian Xuesen Lab. of Space Technology (China)

Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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