Multidimensional and temporal SAR data representation and processing based on binary partition trees

dc.contributor
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.author
Alonso González, Alberto
dc.date.accessioned
2014-07-10T08:50:07Z
dc.date.available
2014-07-10T08:50:07Z
dc.date.issued
2014-06-13
dc.identifier.uri
http://hdl.handle.net/10803/146132
dc.description.abstract
This thesis deals with the processing of different types of multidimensional SAR data for distinct applications. Instead of handling the original pixels of the image, which correspond to very local information and are strongly contaminated by speckle noise, a region-based and multiscale data abstraction is defined, the Binary Partition Tree (BPT). In this representation, each region stands for an homogeneous area of the data, grouping pixels with similar properties and making easier its interpretation and processing. The work presented in this thesis concerns the definition of the BPT structures for Polarimetric SAR (PolSAR) images and also for temporal series of SAR acquisitions. It covers the description of the corresponding data models and the algorithms for BPT construction and its exploitation. Particular attention has been paid to the speckle filtering application. The proposed technique has proven to achieve arbitrarily large regions over homogeneous areas while also preserving the spatial resolution and the small details of the original data. As a consequence, this approach has demonstrated an improvement in the performance of the target response estimation with respect to other speckle filtering techniques. Moreover, due to the flexibility and convenience of this representation, it has been employed for other applications as scene segmentation and classification. The processing of SAR time series has also been addressed, proposing different approaches for dealing with the temporal information of the data, resulting into distinct BPT abstractions. These representations have allowed the development of speckle filtering techniques in the spatial and temporal domains and also the improvement and the definition of additional methods for classification and temporal change detection and characterization.
eng
dc.format.extent
284 p.
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Universitat Politècnica de Catalunya
dc.rights.license
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
*
dc.source
TDX (Tesis Doctorals en Xarxa)
dc.title
Multidimensional and temporal SAR data representation and processing based on binary partition trees
dc.type
info:eu-repo/semantics/doctoralThesis
dc.type
info:eu-repo/semantics/publishedVersion
dc.subject.udc
621.3
cat
dc.contributor.director
López Martínez, Carlos
dc.embargo.terms
cap
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
dc.identifier.dl
B 19918-2014


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