Detection of Wind Turbines in Intertidal Areas Using SAR Polarimetry

Citation

Ferrentino E, Nunziata F, Marino A, Migliaccio M & Li X (2019) Detection of Wind Turbines in Intertidal Areas Using SAR Polarimetry. IEEE Geoscience and Remote Sensing Letters, 16 (10), pp. 1516-1520. https://doi.org/10.1109/LGRS.2019.2905714

Abstract
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.

Keywords
Change detection; notch filter; polarimetric synthetic-aperture radar (PolSAR); polarimetry; wind turbines

Journal
IEEE Geoscience and Remote Sensing Letters: Volume 16, Issue 10

People

Dr Armando Marino

Associate Professor, Biological and Environmental Sciences