Speckle noise removal and edge enhancement on SAR image using anisotropic diffusion and discrete wavelet transform

Author

Peng, Cheng ; Chan, Andrew ; Wang, Jianzhong

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

4

fYear

2000

fDate

2000

Firstpage

1663

Abstract

The authors discuss the geophysical problem of radar satellite remote sensing using the synthetic aperture radar method. Edge detection and noise removal problems are considered that use Markov random fields and the wavelet transform

Keywords

discrete wavelet transforms; edge detection; geophysical signal processing; geophysical techniques; image enhancement; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; Markov random fields; SAR; anisotropic diffusion; discrete wavelet transform; edge detection; edge enhancement; geophysical measurement technique; land surface; noise remova; radar imaging; radar remote sensing; satellite remote sensing; speckle noise removal; synthetic aperture radar; terrain mapping; wavelet transform; Image edge detection; Markov random fields; Radar imaging; Radar remote sensing; Remote sensing; Satellites; Spaceborne radar; Speckle; Synthetic aperture radar; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.857305

Filename

857305