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Adaptive Ship Detection for Single-Look Complex SAR Images Based on SVWIE-Noncircularity Decomposition

Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education, Fudan University, Shanghai 200433, China
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Sensors 2018, 18(10), 3293; https://doi.org/10.3390/s18103293
Received: 17 August 2018 / Revised: 12 September 2018 / Accepted: 27 September 2018 / Published: 30 September 2018
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
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Abstract

In this paper, we present an adaptive ship detection method for single-look complex synthetic aperture radar (SAR) images. First, noncircularity is analyzed and adopted in ship detection task; besides, similarity variance weighted information entropy (SVWIE) is proposed for clutter reduction and target enhancement. According to the analysis of scattering of SVWIE and noncircularity, SVWIE-noncircularity (SN) decomposition is developed. Based on the decomposition, two components, the high-noncircularity SVWIE amplitude (h) and the low-noncircularity SVWIE amplitude (l), are obtained. We demonstrate that ships and clutter in SAR images are different for h detector and h detector can be effectively used for ship detection. Finally, to extract ships from the background, the generalized Gamma distribution (G Γ D) is used to fit h statistics of clutter and the constant false alarm rate (CFAR) is utilized to choose an adaptive threshold. The performance of the proposed method is demonstrated on HH polarization of Alos-2 images. Experimental results show that the proposed method can accurately detect ships in complex background, i.e., ships are close to small islands or with strong noise. View Full-Text
Keywords: ship detection; synthetic aperture radar; SVWIE-noncircularity decomposition ship detection; synthetic aperture radar; SVWIE-noncircularity decomposition
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Zhao, Y.-H.; Liu, P. Adaptive Ship Detection for Single-Look Complex SAR Images Based on SVWIE-Noncircularity Decomposition. Sensors 2018, 18, 3293.

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