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

fYear

2008

fDate

20-23 June 2008

Firstpage

863

Lastpage

868

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICINFA.2008.4608120

Filename

4608120