Edge detection in speckled SAR images using the continuous wavelet transform

Author

Chabert, Marie ; Tourneret, Jean-Yves ; Mesnager, Gilles

Author_Institution

ENSEEIHT, Toulouse, France

Volume

3

fYear

1996

fDate

27-31 May 1996

Firstpage

1842

Abstract

This study presents an original method to detect edges in synthetic aperture radar images corrupted by speckle. The authors show that the continuous wavelet transform (CWT) allows to accurately detect edges embedded in speckle. Edges give rise to a conic signature in the CWT. Furthermore, the signal to noise ratio (SNR) increases with the scale of the CWT. The optimal wavelet maximizing the SNR is derived and two wavelet based detectors are proposed. Both are 2D detectors and so take advantage of information redundancy in the scale-space plane

Keywords

edge detection; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; wavelet transforms; conic signature; continuous wavelet transform; edge detection; geophysical measurement technique; image processing; land surface; optimal wavelet; radar imaging; radar remote sensing; signal to noise ratio; speckle; speckled SAR image; synthetic aperture imaging; synthetic aperture radar; terrain mapping; Amplitude estimation; Continuous wavelet transforms; Detectors; Image edge detection; Laser radar; Radar detection; Signal to noise ratio; Speckle; Synthetic aperture radar; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516815

Filename

516815