基于特征的SAR遥感图像港口检测方法

Harbor Detection Method of SAR Remote Sensing Images Based on Feature

遥感图像中港口检测是遥感海洋应用研究的重要方面。快速、准确地检测港口将大大提高遥感图像的自动解译能力。该文通过研究港口目标配置,从港口功能特征出发建立了港口特征模型,并在此基础上提出了一种基于特征的遥感图像港口检测方法。首先根据港口的几何特征、拓扑特征完成港口突堤的提取与筛选,然后根据港口的上下文特征、几何特征,选择突堤特征点并计算特征点间岸线封闭性,最后根据封闭性准则完成港口检测。实验结果表明,相对于已有的港口检测方法,新方法具有港口检测正确、轮廓完整、检测率高、运算速度快等特点。

Harbor detection is an important aspect for remote sensing ocean application research. Fast and accurate harbor detection can greatly improve the ability of automatic interpretation for remote sensing image. By having a detailed research on harbor object disposal, this paper establishes harbor feature model, and proposes a harbor detection method of remote sensing images based on feature. First, extraction and discrimination of harbor jetty are performed in the instruction of geometric features and topologic features belonging to harbor. Then, the jetty key points are selected and the coastline closure between key points is calculated according to the contextual and geometric features of harbor. Finally, harbor detection is finished in the guidance of closure principle. Compared with an existing harbor detection algorithm, the experiments show that novel method has a whole harbor detection, high detection ratio and fast operation.