Speckle filtering, segmentation and classification of polarimetric SAR data: a unified approach based on the wavelet transform

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 pre...

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Hauptverfasser:	De Grandi, G.F., Lee, J.S., Simard, M., Wakabayashi, H., Schuler, D., Ainsworth, T.L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Continuous wavelet transforms Discrete wavelet transforms Information filtering Information filters Remote sensing Signal analysis Space technology Speckle Wavelet analysis Wavelet transforms
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creator	De Grandi, G.F. Lee, J.S. Simard, M. Wakabayashi, H. Schuler, D. Ainsworth, T.L.
description	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.
doi_str_mv	10.1109/IGARSS.2000.858037
format	Conference Proceeding
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IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)</btitle><stitle>IGARSS</stitle><date>2000</date><risdate>2000</risdate><volume>3</volume><spage>1107</spage><epage>1109 vol.3</epage><pages>1107-1109 vol.3</pages><isbn>0780363590</isbn><isbn>9780780363595</isbn><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. 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subjects	Continuous wavelet transforms Discrete wavelet transforms Information filtering Information filters Remote sensing Signal analysis Space technology Speckle Wavelet analysis Wavelet transforms
title	Speckle filtering, segmentation and classification of polarimetric SAR data: a unified approach based on the wavelet transform
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