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Sensors 2018, 18(2), 563; https://doi.org/10.3390/s18020563

A Novel Ship Detection Method Based on Gradient and Integral Feature for Single-Polarization Synthetic Aperture Radar Imagery

1
Department of Electronics, Tsinghua University, Beijing 100084, China
2
Beijing Institute of Spacecraft System Engineering, Beijing 100094, China
3
Department of Information and Electronic, Beijing Institute of Technology, Beijing 100081, China
*
Authors to whom correspondence should be addressed.
Received: 30 December 2017 / Revised: 3 February 2018 / Accepted: 8 February 2018 / Published: 12 February 2018
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
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Abstract

With the rapid development of remote sensing technologies, SAR satellites like China’s Gaofen-3 satellite have more imaging modes and higher resolution. With the availability of high-resolution SAR images, automatic ship target detection has become an important topic in maritime research. In this paper, a novel ship detection method based on gradient and integral features is proposed. This method is mainly composed of three steps. First, in the preprocessing step, a filter is employed to smooth the clutters and the smoothing effect can be adaptive adjusted according to the statistics information of the sub-window. Thus, it can retain details while achieving noise suppression. Second, in the candidate area extraction, a sea-land segmentation method based on gradient enhancement is presented. The integral image method is employed to accelerate computation. Finally, in the ship target identification step, a feature extraction strategy based on Haar-like gradient information and a Radon transform is proposed. This strategy decreases the number of templates found in traditional Haar-like methods. Experiments were performed using Gaofen-3 single-polarization SAR images, and the results showed that the proposed method has high detection accuracy and rapid computational efficiency. In addition, this method has the potential for on-board processing. View Full-Text
Keywords: ship detection; Haar-like feature; integral image; single-polarization SAR image; Gaofen-3 ship detection; Haar-like feature; integral image; single-polarization SAR image; Gaofen-3
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Shi, H.; Zhang, Q.; Bian, M.; Wang, H.; Wang, Z.; Chen, L.; Yang, J. A Novel Ship Detection Method Based on Gradient and Integral Feature for Single-Polarization Synthetic Aperture Radar Imagery. Sensors 2018, 18, 563.

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