NDLI: Non-negative scattering power decomposition for PolSAR data interpretation

Content Provider	IET Digital Library
Author	Maurya, Himanshu Panigrahi, Rajib Kumar
Abstract	This study presents a hybrid technique for polarimetric synthetic aperture radar (PolSAR) data decomposition. The proposed technique aims to overcome the negative power problem of model-based decomposition methods. To achieve this, matrix rotation theory is used along with hybrid scattering models. The matrix rotation theory is utilised on the basis of underlying dominant scatterer to remove maximal of the cross-polarisation power generated by the coupling between orthogonal states of polarisation. Removing the coupling energy between orthogonal states not only optimised the PolSAR coherency matrix but also transform it more close to reflection symmetry condition. The applicability of the proposed approach is shown through the implementation of hybrid three- and four-component decomposition methods. The proposed hybrid methods are experimentally verified on C-band Radarsat-2 San Francisco and L-band UAVSAR Hayward datasets. For further analysis, different land-cover patches are selected. Moreover, the variations in percentage of negative power pixels are investigated by employing different volume scattering models. Comparative analyses are presented with existing PolSAR decomposition techniques in terms of normalised scattering power means and amount of negative power pixels. All experimental analyses clearly report the superiority of the proposed hybrid approach through improvements over existing PolSAR decomposition techniques along with non-negative scattering powers.
Starting Page	593
Ending Page	602
Page Count	10
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 6, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0581
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-02-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	C-band Radarsat-2 San Francisco Coupling Energy Removal Cross-polarisation Power Maximal Removal Dominant Scatterer Earth Sciences Electromagnetic Wave Polarisation Electromagnetic Wave Scattering Four-component Decomposition Method Hybrid Decomposition Method Hybrid Scattering Model Hybrid Three-component Decomposition Method L-band UAVSAR Hayward Land Cover Land-cover Patches Linear Algebra Matrix Decomposition Matrix Rotation Theory Model-based Decomposition Method Negative Power Pixel Negative Power Problem Nonnegative Scattering Power Decomposition Numerical Analysis Orthogonal Polarization State Polarimetric Synthetic Aperture Radar Data Decomposition PolSAR Coherency Matrix PolSAR Data Interpretation Radar Equipment Radar Polarimetry Reflection Symmetry Condition Remote Sensing by Radar Scattering Mechanisms Synthetic Aperture Radar System And Application USA Data Sets Volume Scattering Model
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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