Title :
Aerial image registration based on joint feature-spatial spaces, curve and template matching
Author :
Shao, Guifeng ; Yao, Fenghui ; Malkani, Mohan J.
Author_Institution :
Dept. of Comput. Sci., Tennessee State Univ., Nashville, TN
Abstract :
Image registration has wide applications in remote sensing, medicine, cartography, and computer vision. This paper describes a method for aerial image registration, which is based on joint feature-spatial spaces, curve matching, and template matching. The entire algorithm consists of (i) segmentation and region representation, (ii) region matching based on joint feature-spatial space, (iii) transformation model estimation based on curve matching and template matching, and (iv) image transformation. Experiment results show the effectiveness of this algorithm.
Keywords :
image matching; image registration; image segmentation; aerial image registration; computer vision; curve matching; image transformation; joint feature-spatial spaces; region matching; segmentation representation; template matching; Automation; Computer science; Computer vision; Computerized monitoring; Geographic Information Systems; Image registration; Nuclear magnetic resonance; Remote monitoring; USA Councils; Unmanned aerial vehicles;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608120
