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PolSAR time series processing with Binary Partition Trees
Alonso González, Alberto; López Martínez, Carlos; Salembier Clairon, Philippe Jean
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
This paper deals with the processing of polarimetric synthetic aperture radar (SAR) time series. Different approaches to deal with the temporal dimension of the data are considered, which are derived from different target characterizations in this dimension. These approaches are the basis for defining two different binary partition tree (BPT) structures that are employed for SAR polarimetry (PolSAR) data processing. Once constructed, the BPT is processed by a tree pruning, producing a set of spatio-temporal homogeneous regions, and estimating the polarimetric response within them. It is demonstrated that the proposed technique preserves the PolSAR information in the spatial and the temporal domains without introducing bias nor distortion. Additionally, the evolution of the data in the temporal dimension is also analyzed, and techniques to obtain BPT-based scene change maps are defined. Finally, the proposed techniques are employed to process two real RADARSAT-2 data sets.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
Syntethic aperture radar
Polarimetry
Time-series analysis
Binary Partition Tree (BPT)
Change detection
Synthetic aperture radar (SAR) polarimetry
Ssegmentation
Time series
Target decomposition-theorems
Polarimetric SAR data
Radar polarimetry
Representation
Radar d'obertura sintètica
Sèries temporals -- Anàlisi
info:eu-repo/semantics/publishedVersion
Article
Institute of Electrical and Electronics Engineers (IEEE)
         

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