Research on Extraction Method of Shoreline Based on Airborne Remote Sensing Image

Rong Chen, B. Jia, Jin Xu, Bo Li, Shuai Xu
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Abstract

Shoreline information extraction is an important basis for marine supervision and development. Due to the high-time-cost and low-extraction-accuracy of the traditional shoreline extraction method based on field investigation and artificial interpretation, a new shoreline extraction method based on airborne remote sensing and segmentation technology was proposed. First, the visible and thermal infrared images were matched into the same size and the two images were fused by the method of image processing. Then, the triangle threshold method was used to segment the image for separating the land and the sea. Finally, the shorelines were extracted by removing speckles. The experiment result shown that the segmentation algorithm based on UAV remote sensing image is simple and easy to realize, which can extract shorelines quickly, accurately and intelligently.
基于航空遥感影像的海岸线提取方法研究
岸线信息提取是海洋监管与开发的重要基础。针对传统基于野外调查和人工解译的岸线提取方法时间成本高、提取精度低的问题,提出了一种基于航空遥感和分割技术的岸线提取方法。首先,将可见光和热红外图像匹配成相同的尺寸,通过图像处理的方法将两幅图像融合;然后,利用三角阈值法对图像进行分割,实现陆地和海洋的分离;最后,通过去除斑点提取海岸线。实验结果表明,基于无人机遥感图像的海岸线分割算法简单、易于实现,能够快速、准确、智能地提取海岸线。
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