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水陆边界模糊条件下的水边线精确提取方法研究
罗敏1, 张东2
1.浙江大学;2.南京师范大学
摘要:
为达到在水陆边界模糊条件下自动提取淤泥质海岸水边线的目的,本文试验了一种基于样条二进小波à trous小波变换和自动阈值获取相结合的方法。在高分影像中,先进行二进小波分解,然后对小波系数进行模极大值检测,之后进行自适应阈值的自动提取,最终提取水边线。将Sobel算子,Log算子,Canny算子提取的水边线结果和本方法提取的水边线结果进行定性和定量比较,结果表明,本方法可以有效去除水陆边界模糊条件下高分影像中的噪声,快速自动地提取水边线,具有一定的方法优越性。
关键词:  水陆边界模糊  à trous小波变换  自动阈值提取  水边线提取技术
DOI:10.11759/hykx20190123003
分类号:P76
基金项目:南黄海辐射沙洲陆岸岸滩时空演变特征与机制遥感研究(41771447)
Research on accurate extraction of waterline under conditions of blurred water-land boundary
LUO MIN1, Zhang Dong2
1.Zhejiang University;2.Nanjing Normal University
Abstract:
In order to automatically extract the waterline of muddy coast under the ambiguous condition of land and water boundary, an algorithm combining à trous spline binary wavelet transform with automatic threshold acquisition is experimented in this paper. The binary wavelet decomposition is processed in high-resolution image firstly, and then the wavelet coefficients are detected based on the modulus maxima value, afterwards, the threshold is determined automatically based on the adaptive threshold method, and finally the waterline is extracted. Qualitative and quantitative comparisons are made between the results of Sobel operator, Log operator and Canny operator and the results of waterline extracted by this method. The results show that the method can remove the noise in high-resolution image effectively under the conditions of blurred land-water boundary, and extract the waterline quickly and automatically, which has certain method superiority.
Key words:  blurred land-water boundary  à trous wavelet transform  automatic threshold extraction  waterline extraction technology
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