Unsupervised segmentation of polarimetric SAR data using the covariance matrix
A method for unsupervised segmentation of polarimetric synthetic aperture radar (SAR) data into classes of homogeneous microwave polarimetric backscatter characteristics is presented. Classes of polarimetric backscatter are selected on the basis of a multidimensional fuzzy clustering of the logarith...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19930030709 2023-05-15T18:18:17+02:00 Unsupervised segmentation of polarimetric SAR data using the covariance matrix Rignot, Eric J. M. Chellappa, Rama Dubois, Pascale C. Unclassified, Unlimited, Publicly available July 1992 http://ntrs.nasa.gov/search.jsp?R=19930030709 unknown http://ntrs.nasa.gov/search.jsp?R=19930030709 Accession ID: 93A14706 Copyright Other Sources 32 IEEE Transactions on Geoscience and Remote Sensing; 30; 4; p. 697-705. 1992 ftnasantrs 2012-02-15T19:58:31Z A method for unsupervised segmentation of polarimetric synthetic aperture radar (SAR) data into classes of homogeneous microwave polarimetric backscatter characteristics is presented. Classes of polarimetric backscatter are selected on the basis of a multidimensional fuzzy clustering of the logarithm of the parameters composing the polarimetric covariance matrix. The clustering procedure uses both polarimetric amplitude and phase information, is adapted to the presence of image speckle, and does not require an arbitrary weighting of the different polarimetric channels; it also provides a partitioning of each data sample used for clustering into multiple clusters. Given the classes of polarimetric backscatter, the entire image is classified using a maximum a posteriori polarimetric classifier. Four-look polarimetric SAR complex data of lava flows and of sea ice acquired by the NASA/JPL airborne polarimetric radar (AIRSAR) are segmented using this technique. The results are discussed and compared with those obtained using supervised techniques. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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32 Rignot, Eric J. M. Chellappa, Rama Dubois, Pascale C. Unsupervised segmentation of polarimetric SAR data using the covariance matrix |
topic_facet |
32 |
description |
A method for unsupervised segmentation of polarimetric synthetic aperture radar (SAR) data into classes of homogeneous microwave polarimetric backscatter characteristics is presented. Classes of polarimetric backscatter are selected on the basis of a multidimensional fuzzy clustering of the logarithm of the parameters composing the polarimetric covariance matrix. The clustering procedure uses both polarimetric amplitude and phase information, is adapted to the presence of image speckle, and does not require an arbitrary weighting of the different polarimetric channels; it also provides a partitioning of each data sample used for clustering into multiple clusters. Given the classes of polarimetric backscatter, the entire image is classified using a maximum a posteriori polarimetric classifier. Four-look polarimetric SAR complex data of lava flows and of sea ice acquired by the NASA/JPL airborne polarimetric radar (AIRSAR) are segmented using this technique. The results are discussed and compared with those obtained using supervised techniques. |
format |
Other/Unknown Material |
author |
Rignot, Eric J. M. Chellappa, Rama Dubois, Pascale C. |
author_facet |
Rignot, Eric J. M. Chellappa, Rama Dubois, Pascale C. |
author_sort |
Rignot, Eric J. M. |
title |
Unsupervised segmentation of polarimetric SAR data using the covariance matrix |
title_short |
Unsupervised segmentation of polarimetric SAR data using the covariance matrix |
title_full |
Unsupervised segmentation of polarimetric SAR data using the covariance matrix |
title_fullStr |
Unsupervised segmentation of polarimetric SAR data using the covariance matrix |
title_full_unstemmed |
Unsupervised segmentation of polarimetric SAR data using the covariance matrix |
title_sort |
unsupervised segmentation of polarimetric sar data using the covariance matrix |
publishDate |
1992 |
url |
http://ntrs.nasa.gov/search.jsp?R=19930030709 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Other Sources |
op_relation |
http://ntrs.nasa.gov/search.jsp?R=19930030709 Accession ID: 93A14706 |
op_rights |
Copyright |
_version_ |
1766194803858472960 |