Title :
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
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;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5362849
