Detection of Wind Turbines in Intertidal Areas Using SAR Polarimetry

被引：19
|
作者：
Ferrentino, Emanuele [1 ]
Nunziata, Ferdinando [1 ]
Marino, Armando [2 ]
Migliaccio, Maurizio [1 ]
Li, Xiaoming [3 ]
机构：
[1] Univ Napoli Parthenope, Dipartimento Ingn, I-80133 Naples, Italy
[2] Univ Stirling, Dept Nat Sci, Stirling FK9 4LA, Scotland
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2019年 / 16卷 / 10期
关键词：
Change detection; notch filter; polarimetric synthetic-aperture radar (PolSAR); polarimetry; wind turbines; SYNTHETIC-APERTURE RADAR; TERRASAR-X; TARGET DETECTION; SHIP DETECTION; CLASSIFICATION;
D O I：
10.1109/LGRS.2019.2905714
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
The detection of wind turbines in a strong clutter background is analyzed at variance of polarimetric synthetic-aperture radar (SAR) configurations. The area of interest is the intertidal zone near Jiangsu, China and two detectors are used, the polarimetric notch filter (PNF) and a change detector that optimizes the ratio between covariance matrices. The detection performance is quantitatively analyzed using the receiver operating characteristic (ROC) curve, while the scattering mechanisms that characterize wind turbines are analyzed using the Yamaguchi decomposition. Experimental analysis shows that: 1) wind turbines result in a nontrivial scattering mechanism and 2) full-polarimetric measurements achieve the best detection performance independently of the two detectors.
引用
收藏
页码：1516 / 1520
页数：5
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