罗敏¹, 张东^2,3
1.浙江大学 海洋学院, 浙江 舟山 316021;2.南京师范大学 海洋科学与工程学院, 江苏 南京 210023;3.南京师范大学 江苏省地理信息资源开发与利用协同创新中心, 江苏 南京 210023

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，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，基于高分影像自动提取水边线。同时将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。从方法学上解决水陆边界模糊条件下的水边线自动提取困难的难题，为进一步确定海岸线奠定坚实基础，大量节省人力、物力和财力。
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:P733
基金项目:国家自然科学基金项目（41771447）

Research on accurate extraction of waterline under conditions of blurred water-land boundary
LUO Min¹, ZHANG Dong^2,3
1.Ocean College, Zhejiang University, Zhoushan 316021, China;2.College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China;3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
Abstract:
To automatically extract the waterline of muddy coasts under the ambiguous condition of land and water boundary, an algorithm that combines à trous spline binary wavelet transform with automatic threshold acquisition is tested in this study. Binary wavelet decomposition is first processed in a high-resolution image, and then the wavelet coefficients are detected based on the modulus maxima value. Next, the threshold is automatically determined based on the adaptive threshold method. At last, the waterline is extracted. Qualitative and quantitative comparisons are performed between the results of the Sobel operator, log operator, and Canny operator, and the results of the waterline extracted using this method. Results show that the method can effectively remove the noise in high-resolution images under the condition of blurred land-water boundary and quickly and automatically extract the waterline, thereby showing superiority over other methods.
Key words:blurred land-water boundaryà trous wavelet transformautomatic threshold extractionwaterline extraction technology





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