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Title: A hybrid and hierarchical approach to aerial image registration
Authors: Xu, Dongjiang
Kasparis, Takis 
Keywords: Image registration;Optical flow;Phase correlation;Gaussian/Laplacian pyramid
Issue Date: 2007
Publisher: World Scientific Publishing
Source: International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). Volume 21, Issue 3(2007) pp. 573-590
Abstract: This paper proposes a hybrid approach to image registration for inferring the affine transformation that best matches a pair of partially overlapping aerial images. The image registration is formulated as a two-stage hybrid approach combining both phase correlation method (PCME) and optical flow equation (OFE) based estimation algorithm in a coarse-to-fine manner. With PCME applied at the highest level of decomposition, the initial affine parameter model could be first estimated. Subsequently, the OFE-based estimation algorithm is incorporated into the proposed hybrid approach using a multi-resolution mechanism. PCME is characterized by its insensitivity to large geometric transform between images, which can effectively guide the OFE-based registration. For image pairs under salient brightness variations, we propose a nonlinear image representation that emphasizes common intensity information, suppresses the non-common information between an image pair, and is suitable for the proposed coarse-to-fine hierarchical iterative processing. Experimental results demonstrate the accuracy and efficiency of our proposed approach using different types of aerial images.
DOI: 10.1142/S0218001407005508
Type: Article
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