DocumentCode :
2262084
Title :
Speckle filtering, segmentation and classification of polarimetric SAR data: a unified approach based on the wavelet transform
Author :
de Grandi, G.F. ; Lee, J.S. ; Simard, M. ; Wakabayashi, H. ; Schuler, D. ; Ainsworth, T.L.
Author_Institution :
Space Applications Inst., Eur. Commission Joint Res. Centre, Ispra, Italy
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1107
Abstract :
A discrete dyadic wavelet transform used as a differential operator was introduced bu S. Mallat et al. (1992) and is a powerful analysis tool to measure the local regularity of a signal. Also an image reconstruction algorithm from the wavelet transform maxima was proven. Based on this theory the present authors propose an approach to map sharp transitions (singularities) and homogeneous areas in SAR imagery. This information in turn lends support in a unified manner to the implementation of speckle filters, segmentation and classification algorithms. Examples of the technique related to polarimetric SAR data processing are reported
Keywords :
discrete wavelet transforms; geophysical signal processing; geophysical techniques; image classification; image reconstruction; image segmentation; radar imaging; radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; SAR; SAR imagery; differential operator; discrete dyadic wavelet transform; geophysical measurement technique; homogeneous area; image classification; image processing; image reconstruction algorithm; image segmentation; land surface; local regularity; polarimetric SAR; radar imaging; radar polarimetry; radar remote sensing; sharp transition; speckle filtering; synthetic aperture radar; terrain mapping; theory; wavelet transform; wavelet transform maxima; Continuous wavelet transforms; Discrete wavelet transforms; Information filtering; Information filters; Remote sensing; Signal analysis; Space technology; Speckle; Wavelet analysis; 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.2000.858037
Filename :
858037
Link To Document :
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