Junfeng Yang

Mr. Junfeng Yang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 December 2021 in Remote Sensing
Verified
Journal Article
Open access
PDF file
KDKaiyang Ding
Kaiyang Ding
JYJunfeng Yang
Junfeng Yang
ZWZhao Wang
Zhao Wang
KNKai Ni
Kai Ni
XWXiaohao Wang
Xiaohao Wang
QZQian Zhou
Qian Zhou
Traditional ship identification systems have difficulty in identifying illegal or broken ships, but the wakes generated by ships can be used as a major feature for identification. However, multi-ship and multi-scale wake detection is also a big challenge. This paper combines the geometric and pixel characteristics of ships and their wakes in Synthetic Aperture Radar (SAR) images and proposes a method for multi-ship and multi-scale wake detection. This method first detects the highlight pixel area in the image and then generates specific windows around the centroid, thereby detecting wakes of different sizes in different areas. In addition, all wake components can be located completely based on wake clustering, the statistical features of wake axis pixels can be used to determine the visible length of the wake. Test results on the Gaofen-3 SAR image show the special potential of the method for wake detection.