Title
A hybrid and hierarchical approach to aerial image registration
Abbreviated Journal Title
Int. J. Pattern Recognit. Artif. Intell.
Keywords
image registration; optical flow; phase correlation; Gaussian/Laplacian; pyramid; INVARIANT MOMENTS; ALGORITHM; Computer Science, Artificial Intelligence
Abstract
This paper proposes a hybrid approach to image registration for inferring the a. ne 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 a. ne 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.
Journal Title
International Journal of Pattern Recognition and Artificial Intelligence
Volume
21
Issue/Number
3
Publication Date
1-1-2007
Document Type
Article
Language
English
First Page
573
Last Page
590
WOS Identifier
ISSN
0218-0014
Recommended Citation
"A hybrid and hierarchical approach to aerial image registration" (2007). Faculty Bibliography 2000s. 7809.
https://stars.library.ucf.edu/facultybib2000/7809
Comments
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