Change detection in SAR image based on multisacle product and PCA

Author

Wang, Guiting ; Zhang, Fengyu ; Jiao, Licheng

Author_Institution

Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi´´an, China

fYear

2009

fDate

26-30 Oct. 2009

Firstpage

872

Lastpage

875

Abstract

In this paper, we present a new method of change detection in SAR images based on multiscale product of wavelet transform and PCA algorithm. This method applied multiscale product of wavelet transform, in order to avoid the affect of speckle noise in SAR, enhance the changed information and weaken the effect of noise. The algorithm of PCA is used to merge every scale after the process of multiscale product. To show the effectiveness of the proposed technique, experiments are conducted on two SAR datasets. Results are compared with two methods which based on wavelet transform and PCA, and it is proved to be superior.

Keywords

principal component analysis; radar imaging; synthetic aperture radar; wavelet transforms; PCA algorithm; SAR datasets; SAR images; change detection maps; multiscale product; speckle noise; wavelet transform; Additive noise; Change detection algorithms; Laboratories; Principal component analysis; Radar detection; Remote monitoring; Speckle; Synthetic aperture radar; Wavelet coefficients; Wavelet transforms; Change detection; Multiscale product; PCA;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on

Conference_Location

Xian, Shanxi

Print_ISBN

978-1-4244-2731-4

Electronic_ISBN

978-1-4244-2732-1

Type

conf

DOI

10.1109/APSAR.2009.5374194

Filename

5374194