Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data
Department of Physics & Electronics, Beijing University of Chemical Technology, Beijing 100029, China
Author to whom correspondence should be addressed.
Academic Editors: Zhenhong Li and Prasad S. Thenkabail
Received: 20 March 2017 / Revised: 26 May 2017 / Accepted: 13 June 2017 / Published: 16 June 2017
Scattering mechanism (SM) analysis is a promising technique for ship detection and classification in polarimetric SAR (PolSAR) images. In this paper, a four-component model-based decomposition method incorporating surface, double-bounce, volume and cross-polarized components is proposed for analyzing the SMs of ships. A novel cross-polarized scattering component capable of discriminating between the HV scattering power generated by the oriented scatterers on ships from that by volume scatterers is proposed as a means to address the problem of volume scattering power overestimation. In the decomposition stage, by taking into account both the real and imaginary parts of the elements
of the observed coherency matrix, the proposed cross-polarized component can preserve the reflection asymmetry information completely, which is an essential property of man-made targets, such as ships. Based on the proposed decomposition method and an analysis of the different SMs between ships and sea clutter, a novel ship detection metric defined as
is proposed. Experimental results conducted on RadarSat-2 quad-polarimetric data validate the proposed four-component decomposition method as being more suitable for analyzing the SMs of ship targets than the existing helix matrix-based decomposition methods. Additionally, we find that the proposed ship detection metric can effectively enhance the signal-to-clutter ratio (SCR) and improve ship detection performance.
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MDPI and ACS Style
Xi, Y.; Lang, H.; Tao, Y.; Huang, L.; Pei, Z. Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data. Remote Sens. 2017, 9, 621.
Xi Y, Lang H, Tao Y, Huang L, Pei Z. Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data. Remote Sensing. 2017; 9(6):621.
Xi, Yuyang; Lang, Haitao; Tao, Yunhong; Huang, Lin; Pei, Zijun. 2017. "Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data." Remote Sens. 9, no. 6: 621.
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