航海雷达图像阴影提取波高算法的改进研究
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1. 哈尔滨工程大学自动化学院哈尔滨150001;2. 哈尔滨工程大学理学院哈尔滨150001

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TN911.73TH7

基金项目:

国家自然科学基金(11405035)、海洋公益性行业科研专项经费(2014050221)、黑龙江省自然科学基金面上项目(F201415)资助


Research on the improvement on the algorithm for retrieving wave height from shadow in marine radar images
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1. College of Automation, Harbin Engineering University, Harbin 150001, China; 2. College of Science, Harbin Engineering University, Harbin 150001, China

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    摘要:

    应用几何阴影法从航海雷达图像中反演有效波高时,阴影分割的准确性直接影响估测波高的精度。针对这一问题,对Rune G提出的阴影算法(为便于表述,简称为Rune算法)进行了改进,基于差分边缘检测的思想提出了一种准确划分图像阴影的自适应方法,方法同时继承了Rune算法的优点,估计有效波高时无需外部提供参考。通过与Rune方法比较,所提出的方法分割的局部阴影更为合理。利用福建平潭试验基地获得的图像数据对该算法进行了验证,结果表明改进后的估测法获得的波高的精度有所提高。

    Abstract:

    When the geometric shadow method is applied to retrieve the significant wave height from marine radar images, the accuracy of shadow segmentation directly affects the performance of wave height estimation. Aiming at this problem, the Rune G′s shadowing algorithm (for the sake of convenience of description, the algorithm proposed by Rune′s method) is improved; an adaptive method that can accurately segment the shadow of the radar images is proposed based on the idea of differential edge detection. This novel method also inherits the advantage of the Rune′s algorithm, and could estimate the significant wave height without any external reference. Compared with the Rune′s method, the partial shadow segmented using the proposed algorithm is more reasonable. The image data acquired from Pingtan Test Base, Fujian were used to verify the effectiveness of the proposed algorithm. The results show that the improved estimation algorithm increases the accuracy of the wave height.

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卢志忠,杨江洪,黄玉,卫延波,杨子翰.航海雷达图像阴影提取波高算法的改进研究[J].仪器仪表学报,2017,38(1):212-218

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  • 在线发布日期: 2017-07-20
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