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Article: On the Ability of PolSAR Measurements to Discriminate Among Mangrove Species

TitleOn the Ability of PolSAR Measurements to Discriminate Among Mangrove Species
Authors
KeywordsSynthetic aperture radar
ForestryRemote sensing
Optical imaging
Optical sensors
Adaptive optics
Issue Date2020
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443
Citation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, v. 13, p. 2729-2737 How to Cite?
AbstractIn this article, apolarimetric synthetic aperture radar (PolSAR) feature is analyzed to discriminate among different mangrove species. This feature, which is related to the Wishart distance, maximizes the contrast among mangrove species optimizing the ratio between quadratic forms. The discrimination performance is assessed both against ground truth and by intercomparing it with conventional model-based decomposition features. Results obtained by processing actual L- and C-band full-polarimetric synthetic aperture radar scenes collected by ALOS-PALSAR-2 and RADARSAT-2 missions show that the proposed approach achieves accurate enough discrimination performance to differentiate two out of the four mangrove species. In addition, results suggest using a multifrequency PolSAR approach to maximize discrimination performance.
Persistent Identifierhttp://hdl.handle.net/10722/289340
ISSN
2021 Impact Factor: 4.715
2020 SCImago Journal Rankings: 1.246
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFerrentino, E-
dc.contributor.authorNunziata, F-
dc.contributor.authorZhang, H-
dc.contributor.authorMigliaccio, M-
dc.date.accessioned2020-10-22T08:11:15Z-
dc.date.available2020-10-22T08:11:15Z-
dc.date.issued2020-
dc.identifier.citationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, v. 13, p. 2729-2737-
dc.identifier.issn1939-1404-
dc.identifier.urihttp://hdl.handle.net/10722/289340-
dc.description.abstractIn this article, apolarimetric synthetic aperture radar (PolSAR) feature is analyzed to discriminate among different mangrove species. This feature, which is related to the Wishart distance, maximizes the contrast among mangrove species optimizing the ratio between quadratic forms. The discrimination performance is assessed both against ground truth and by intercomparing it with conventional model-based decomposition features. Results obtained by processing actual L- and C-band full-polarimetric synthetic aperture radar scenes collected by ALOS-PALSAR-2 and RADARSAT-2 missions show that the proposed approach achieves accurate enough discrimination performance to differentiate two out of the four mangrove species. In addition, results suggest using a multifrequency PolSAR approach to maximize discrimination performance.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443-
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing-
dc.rightsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectSynthetic aperture radar-
dc.subjectForestryRemote sensing-
dc.subjectOptical imaging-
dc.subjectOptical sensors-
dc.subjectAdaptive optics-
dc.titleOn the Ability of PolSAR Measurements to Discriminate Among Mangrove Species-
dc.typeArticle-
dc.identifier.emailZhang, H: zhanghs@hku.hk-
dc.identifier.authorityZhang, H=rp02616-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/JSTARS.2020.2989872-
dc.identifier.scopuseid_2-s2.0-85086890571-
dc.identifier.hkuros317433-
dc.identifier.volume13-
dc.identifier.spage2729-
dc.identifier.epage2737-
dc.identifier.isiWOS:000544047400014-
dc.publisher.placeUnited States-
dc.identifier.issnl1939-1404-

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