Research on Matching of the Remote Sensing Image Matching Based on Histogram Invariant Moments and Genetic Algorithms

Author

Zhou, XiaoLuo ; Liu, HuiPing ; Zhu, ShouDong ; Wang, XiaoDong ; Wang, HaoXing

Author_Institution

Sch. of Geogr., Beijing Normal Univ., Beijing, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Based on the histogram invariant moments and Genetic Algorithms, a new remote sensing image matching method is developed to provide robust matching between the remote sensing images having a change in rotation or scale. Image pyramid technology is integrated into the Genetic Algorithms to provide an effective and robust search order. Histogram invariant moment which is invariant to rotation is used as the image feature descriptor. This method has a good performance in accuracy and speed. At the last part of the paper, a Beijing 5 m SPOT image is used as the experiment data to show the result.

Keywords

genetic algorithms; image matching; remote sensing; stability; Image pyramid technology; SPOT image; genetic algorithms; histogram invariant moments; image feature descriptor; remote sensing image matching; robust matching; Algorithm design and analysis; Biological cells; Genetic algorithms; Genetic mutations; Histograms; Image coding; Image matching; Image processing; Remote sensing; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5362849

Filename

5362849