Unsupervised Segmentation Of Polarimetric SAR Data

Method of unsupervised segmentation of polarimetric synthetic-aperture-radar (SAR) image data into classes involves selection of classes on basis of multidimensional fuzzy clustering of logarithms of parameters of polarimetric covariance matrix. Data in each class represent parts of image wherein po...

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Bibliographic Details
Main Authors: Rignot, Eric J., Dubois, Pascale, Van Zyl, Jakob, Kwok, Ronald, Chellappa, Rama
Format: Other/Unknown Material
Language:unknown
Published: 1994
Subjects:
TT03
Sea ice
Online Access:http://ntrs.nasa.gov/search.jsp?R=19940000371
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author Rignot, Eric J.
Dubois, Pascale
Van Zyl, Jakob
Kwok, Ronald
Chellappa, Rama
author_facet Rignot, Eric J.
Dubois, Pascale
Van Zyl, Jakob
Kwok, Ronald
Chellappa, Rama
author_sort Rignot, Eric J.
collection NASA Technical Reports Server (NTRS)
description Method of unsupervised segmentation of polarimetric synthetic-aperture-radar (SAR) image data into classes involves selection of classes on basis of multidimensional fuzzy clustering of logarithms of parameters of polarimetric covariance matrix. Data in each class represent parts of image wherein polarimetric SAR backscattering characteristics of terrain regarded as homogeneous. Desirable to have each class represent type of terrain, sea ice, or ocean surface distinguishable from other types via backscattering characteristics. Unsupervised classification does not require training areas, is nearly automated computerized process, and provides nonsubjective selection of image classes naturally well separated by radar.
format Other/Unknown Material
genre Sea ice
genre_facet Sea ice
id ftnasantrs:oai:casi.ntrs.nasa.gov:19940000371
institution Open Polar
language unknown
op_collection_id ftnasantrs
op_coverage Unclassified, Unlimited, Publicly available
op_relation http://ntrs.nasa.gov/search.jsp?R=19940000371
Accession ID: 94B10371
op_rights No Copyright
op_source National Technology Transfer Center (NTTC), Wheeling, WV
publishDate 1994
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19940000371 2025-01-17T00:44:40+00:00 Unsupervised Segmentation Of Polarimetric SAR Data Rignot, Eric J. Dubois, Pascale Van Zyl, Jakob Kwok, Ronald Chellappa, Rama Unclassified, Unlimited, Publicly available Jul 1, 1994 http://ntrs.nasa.gov/search.jsp?R=19940000371 unknown http://ntrs.nasa.gov/search.jsp?R=19940000371 Accession ID: 94B10371 No Copyright National Technology Transfer Center (NTTC), Wheeling, WV TT03 NASA Tech Briefs; 18; 7; P. 46 NPO-18591 1994 ftnasantrs 2012-02-15T20:44:19Z Method of unsupervised segmentation of polarimetric synthetic-aperture-radar (SAR) image data into classes involves selection of classes on basis of multidimensional fuzzy clustering of logarithms of parameters of polarimetric covariance matrix. Data in each class represent parts of image wherein polarimetric SAR backscattering characteristics of terrain regarded as homogeneous. Desirable to have each class represent type of terrain, sea ice, or ocean surface distinguishable from other types via backscattering characteristics. Unsupervised classification does not require training areas, is nearly automated computerized process, and provides nonsubjective selection of image classes naturally well separated by radar. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
spellingShingle TT03
Rignot, Eric J.
Dubois, Pascale
Van Zyl, Jakob
Kwok, Ronald
Chellappa, Rama
Unsupervised Segmentation Of Polarimetric SAR Data
title Unsupervised Segmentation Of Polarimetric SAR Data
title_full Unsupervised Segmentation Of Polarimetric SAR Data
title_fullStr Unsupervised Segmentation Of Polarimetric SAR Data
title_full_unstemmed Unsupervised Segmentation Of Polarimetric SAR Data
title_short Unsupervised Segmentation Of Polarimetric SAR Data
title_sort unsupervised segmentation of polarimetric sar data
topic TT03
topic_facet TT03
url http://ntrs.nasa.gov/search.jsp?R=19940000371

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