NDLI: Multiple-component polarimetric decomposition with new volume scattering models for PolSAR urban areas

Content Provider	IET Digital Library
Author	Xiang, Deliang Wang, Wei Tang, Tao Su, Yi
Abstract	Multiple-component model-based decompositions (MCSMs) of polarimetric synthetic aperture radar (PolSAR) data often exhibit overestimation of volume scattering power, which makes the oriented built-up areas show volume scattering rather than double-bounce scattering. Deorientation processing has been incorporated into the three- and four-component decomposition algorithms to overcome this limitation, where the coherency matrix is rotated to minimise the cross-polarised term. However, even with the deorientation, some urban areas with large orientation angles are still misjudged as vegetation. In this study, the performance of deorientation processing on the MCSM is discussed and then an improved polarimetric model-based decomposition method for PolSAR urban areas is proposed, which is inspired by Sato's decomposition method. Since the cross-polarised HV scattering component is caused not only by vegetation but also by oriented buildings, the volume scattering model of original multiple-component decomposition is extended to describe the HV scattering from these two different land covers. A general volume scattering model is adopted to describe the HV scattering from vegetated areas while the orientation angle of built-up areas is adaptively considered for modelling the HV scattering from oriented buildings. Experiments with the phased array type L-band synthetic aperture radar data demonstrate that the authors’ proposed method can get better decomposition results over urban areas than other methods.
Starting Page	410
Ending Page	419
Page Count	10
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 3, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0105
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-10-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Coherency Matrix Computer Vision And Image Processing Technique Cross-polarised HV Scattering Component Cross-polarised Term Minimisation Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Deorientation Processing Electromagnetic Wave Propagation Electromagnetic Wave Scattering Four-component Decomposition Algorithm General Volume Scattering Model Geography And Cartography Computing Geophysical Image Processing Geophysical Technique And Equipment Graph Theory Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Land Covers Matrix Algebra MCSM Multiple-component Model-based Decompositions Multiple-component Polarimetric Decomposition Optical, Image And Video Signal Processing Orientation Angles Phased Array Radar Phased Array Type L-band Synthetic Aperture Radar Data Polarimetric Synthetic Aperture Radar Data PolSAR Urban Areas Radar Equipment Radar Imaging Radar Polarimetry Remote Sensing by Radar Sato Decomposition Method Set Theory Synthetic Aperture Radar System And Application Three-component Decomposition Algorithm Vegetation Mapping Volume Scattering Power Overestimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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