A New Approach to Corner Extraction and Matching for Automated Image Registration

Alkaabi, Sultan and Deravi, Farzin (2005) A New Approach to Corner Extraction and Matching for Automated Image Registration. In: IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) , 5. IEEE pp. 3517-3521. ISBN 0-7803-9050-4 . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Automatic image registration is an important process in remote sensing applications. In this paper, an efficient automatic system is resented for the estimation of the similarity transform parameters from partially overlapping images. Several aspects of the proposed system including corner extraction, corner matching and iterative transform parameter estimation are discussed in details. Experimental results using remote sensing images are presented.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Yiqing Liang
Date Deposited: 16 Aug 2009 16:18
Last Modified: 13 Jun 2014 11:02
Resource URI: https://kar.kent.ac.uk/id/eprint/8759 (The current URI for this page, for reference purposes)
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