A coarse-to-fine automatic and robust registration method for multi-source remote sensing images based on Harris and phase information

Haichao Li; Yiyun Man

doi:10.1117/12.2197787

8 October 2015 A coarse-to-fine automatic and robust registration method for multi-source remote sensing images based on Harris and phase information

Haichao Li, Yiyun Man

Author Affiliations +

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96750M (2015) https://doi.org/10.1117/12.2197787
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

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.

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Haichao Li and Yiyun Man "A coarse-to-fine automatic and robust registration method for multi-source remote sensing images based on Harris and phase information", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750M (8 October 2015); https://doi.org/10.1117/12.2197787

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