Automated Peak Detection in Doppler Spectra of HF Surface Wave Radar

Yu Ru Chen, L. Z. Chuang, Y. Chung
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Abstract

High-frequency surface wave radar is suitable for large-area detection of vessels. This study develops an automated identification procedure to improve an artificial technique for finding the local peak in Doppler spectra. For obtaining vessel information, an image processing method, namely the watershed segmentation, is integrated into the adaptive signal identification (ASI) algorithm, which has been developed by our research group, for rapid division of several local regions of spectra to extract ship returns. A comparison with automatic identification system (AIS) data proves the feasibility of the proposed method for automatically detecting vessel echoes.
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高频表面波雷达多普勒谱峰自动检测
高频表面波雷达适用于船舶的大面积探测。本研究开发了一种自动识别程序,以改进在多普勒光谱中寻找局部峰的人工技术。为了获取船舶信息,本课题组在自适应信号识别(ASI)算法中加入分水岭分割这一图像处理方法,对光谱的多个局部区域进行快速分割,提取船舶回波。通过与自动识别系统(AIS)数据的比较,验证了该方法用于船舶回波自动检测的可行性。
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