(6)Phase spectrum based automatic ship detection in synthetic aperture radar images
PDF.pdf
Miaohui Zhanga,b, Baojun Qiaoa, Ming Xinc, Bo Zhanga,∗
a Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China
b Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China
c School of Computer Science and Engineering, Beihang University, Beijing, China
Received 8 December 2019; received in revised form 15 September 2020; accepted 15 September 2020
Available online 19 September 2020
Abstract
This paper proposes an automatic ship detection approach in Synthetic Aperture Radar (SAR) Images using phase spectrum. The proposed
method mainly contains two stages: Firstly, sea-land segmentation of SAR Images is one of the key stages for SAR image application such
as sea-targets detection and recognition, which are easily detected only in sea regions. In order to eliminate the influence of land regions
in SAR images, a novel land removing method is explored. The removing method employs a Harris corner detector to obtain some image
patches belonging to land, and the probability density function (PDF) of land area can be estimated by these patches. Thus, an appropriate
land segmentation threshold is accordingly obtained. Secondly, an automatic ship detector based on phase spectrum is proposed. The proposed
detector is free from various idealized assumptions and can accurately detect ships in SAR images. Experimental results demonstrate the
efficiency of the proposed ship detection algorithm in diversified SAR images.
© 2020 Shanghai Jiaotong University. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Ship detection; saliency detection; phase spectrum; sea-land segmentation.