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Sensors 2009, 9(2), 1221-1236; doi:10.3390/s90201221
Article
Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
1
Institute of Oceanology, Chinese Academy of Sciences, Qingdao Shandong, 266071, P.R. China
2
College of Earth Sciences, Graduate School of Chinese Academy of Sciences, Beijing 100049, P.R. China
3
Electronic and Information Engineer, Beihang University, Beijing 100083, P.R. China
* Author to whom correspondence should be addressed.
Received: 31 December 2008; in revised form: 20 February 2009 / Accepted: 21 February 2009 / Published: 24 February 2009
(This article belongs to the Special Issue Ocean Remote Sensing)
Abstract: The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships’ signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method.
Keywords: polarimetric SAR; co-polarization; ship detection; convolution
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MDPI and ACS Style
Li, H.; He, Y.; Wang, W. Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels. Sensors 2009, 9, 1221-1236.
AMA StyleLi H, He Y, Wang W. Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels. Sensors. 2009; 9(2):1221-1236.
Chicago/Turabian StyleLi, Haiyan; He, Yijun; Wang, Wenguang. 2009. "Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels." Sensors 9, no. 2: 1221-1236.
