Edge detection in polarimetric SAR images based on the nonsubsampled contourlet transform

Author

Ruijin Jin ; Junjun Yin ; Wei Zhou ; Jian Yang

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2015

fDate

10-15 May 2015

Abstract

Due to the presence of speckle noise, the detection of edge features from synthetic aperture radar (SAR) images is complicated. In this paper, a new method is proposed for edge detection of polarimetric SAR (Pol-SAR) images, based on the nonsubsampled contourlet transform (NSCT). Firstly, we develop the nonsubsampled contrast pyramid (CP) for polarimetric images by introducing an adaptive optimal polarimetric contrast enhancement (OPCE) model, then the obtained multiscale images are filtered by the nonsubsampled directional filter banks. The point-wise modulus maximum is evaluated across of multidirection subbands in each scale. Finally, the multiscale edge images are fused to reduce the influence of noise. The performance of the proposed method is demonstrated with Pol-SAR data acquired by Convair-580, showing great potential of this method.

Keywords

channel bank filters; edge detection; feature extraction; image denoising; image enhancement; image filtering; image fusion; radar imaging; radar polarimetry; synthetic aperture radar; transforms; Convair-580; NSCT; OPCE model; adaptive optimal polarimetric contrast enhancement model; edge feature detection; multidirection subbands; multiscale edge image fusion; multiscale image filtering; nonsubsampled contourlet transform; nonsubsampled contrast pyramid; nonsubsampled directional filter banks; point-wise modulus maximum; pol-SAR data; polarimetric SAR images; polarimetric synthetic aperture radar images; speckle noise; Detectors; Filter banks; Image edge detection; Roads; Synthetic aperture radar; Wavelet transforms; edge detection; multiscale; nonsubsampled contourlet transform (NSCT); optimal polarimetric contrast enhancement (OPCE); polarimetric synthetic aperture radar (Pol-SAR);

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (RadarCon), 2015 IEEE

Conference_Location

Arlington, VA

Print_ISBN

978-1-4799-8231-8

Type

conf

DOI

10.1109/RADAR.2015.7131017

Filename

7131017