Backscattering change detection in SAR images using wavelet techniques

Author

Bao, Mingquan

Author_Institution

Center for Remote Imaging Sensing & Process., Nat. Univ. of Singapore, Singapore

Volume

3

fYear

1999

fDate

1999

Firstpage

1561

Abstract

Backscattering change detection in synthetic aperture radar (SAR) is a challenging task, due to the presence of speckle noise. A 3-dimensional (2 spatial and 1 time dimension) wavelet shrinkage algorithm is developed to remove the noise. Compared to the often used 2-dimensional SAR wavelet shrinkage algorithm, this 3-dimensional algorithm exploits the correlation between SAR images, and therefore, a better signal to noise ratio is obtained. Furthermore, an autoregressive (AR) model is applied to analyze the temporal changes of radar backscattering. The change detection can be performed according to the AR model coefficients. Radarsat and ERS-2 SAR images are used to test this algorithm. The results show a significant improvement in the backscattering change detection

Keywords

geophysical signal processing; geophysical techniques; image sequences; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; wavelet transforms; 3-dimensional algorithm; SAR; SAR image correlation; autoregressive model; backscattering; change detection; geophysical measurement technique; image processing; image sequence; land surface; radar imaging; radar remote sensing; radar scattering; speckle noise; synthetic aperture radar; temporal change; terrain mapping; wavelet; wavelet shrinkage algorithm; Backscatter; Change detection algorithms; Filters; Radar detection; Signal to noise ratio; Speckle; Synthetic aperture radar; Wavelet coefficients; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.772019

Filename

772019