Multilevel hierarchical segmentation method for polarimetric SAR data based on scattering behaviour and histograms

Dabboor, M; Karathanassi, V; Braun, A

dc.contributor.author	Dabboor, M	en
dc.contributor.author	Karathanassi, V	en
dc.contributor.author	Braun, A	en
dc.date.accessioned	2014-03-01T01:33:46Z
dc.date.available	2014-03-01T01:33:46Z
dc.date.issued	2010	en
dc.identifier.issn	1712-7971	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20582
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-77958516957&partnerID=40&md5=2dbf6e19aaf9de24db46b7e35a250957	en
dc.subject.classification	Remote Sensing	en
dc.subject.other	Advanced land observing satellites	en
dc.subject.other	Analysis images	en
dc.subject.other	Data sets	en
dc.subject.other	Decomposition methods	en
dc.subject.other	Hierarchical segmentation	en
dc.subject.other	K-means clustering	en
dc.subject.other	Land cover	en
dc.subject.other	Polarimetric SAR	en
dc.subject.other	Polarimetric SAR data	en
dc.subject.other	Polarimetric synthetic aperture radars	en
dc.subject.other	Region growing	en
dc.subject.other	Scattering mechanisms	en
dc.subject.other	Second level	en
dc.subject.other	Segment-based	en
dc.subject.other	Segmentation algorithms	en
dc.subject.other	Segmentation levels	en
dc.subject.other	Segmentation methods	en
dc.subject.other	Segmentation results	en
dc.subject.other	Study areas	en
dc.subject.other	United kingdom	en
dc.subject.other	User need	en
dc.subject.other	Graphic methods	en
dc.subject.other	Image segmentation	en
dc.subject.other	Imaging systems	en
dc.subject.other	Polarimeters	en
dc.subject.other	Polarographic analysis	en
dc.subject.other	Scattering	en
dc.subject.other	Statistical methods	en
dc.subject.other	Synthetic aperture radar	en
dc.title	Multilevel hierarchical segmentation method for polarimetric SAR data based on scattering behaviour and histograms	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	One of the main applications of polarimetric synthetic aperture radar (POLSAR) is the classification of different land cover. Classification of polarimetric SAR data can be pixel-based or segment-based. Various segmentation methods for polarimetric SAR data, such as region growing and split-merge, have been proposed recently. This paper proposes a new multilevel divisive hierarchical segmentation methodology based on the separation of the scattering mechanism space produced by polarimetric SAR decomposition methods. This methodology is segment specific, i.e., several segmentation levels can be created for segments selected by the user. In the first and second levels, segmentation is performed based on the dominant scattering mechanism and the second most significant scattering mechanism. In the subsequent levels, data are further segmented using a histogram-based segmentation algorithm. The methodology was applied to two datasets based on Pauli and Freeman-Durden analysis images. Three segmentation levels are implemented and compared with segmentation results based on the k-means clustering. Advanced Land Observing Satellite (ALOS) full polarimetric SAR data are used for a study area located in the southwest of the United Kingdom. The proposed methodology leads to promising results and can be adjusted to user needs and existing knowledge of the target area. © 2010 CASI.	en
heal.publisher	CANADIAN AERONAUTICS SPACE INST	en
heal.journalName	Canadian Journal of Remote Sensing	en
dc.identifier.isi	ISI:000282145100006	en
dc.identifier.volume	36	en
dc.identifier.issue	2	en
dc.identifier.spage	142	en
dc.identifier.epage	153	en