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高分影像砂质海岸线精细提取及校正方法
引用本文:尹航,戚洪帅,蔡锋,等. 高分影像砂质海岸线精细提取及校正方法[J]. 海洋学报,2022,44(4):143–152 doi: 10.12284/hyxb2022084
作者姓名:尹航  戚洪帅  蔡锋  张弛  刘根  赵绍华  宋嘉诚  赵国润
作者单位:1.自然资源部第三海洋研究所 海洋与海岸地质实验室, 福建 厦门 361005;;2.福建省海洋生态保护与修复重点实验室,福建 厦门 361005;;3.河海大学 港口海岸与近海工程学院,江苏 南京 210098
基金项目:国家自然科学基金(41930538,42076058);
摘    要:通过遥感影像稳定获取大范围、连续性海岸线数据,是开展海岸带研究的重要手段之一。针对传统边缘检测算法处理高分辨率遥感影像存在的噪声敏感性、阈值不稳定性等问题,引入一种强鲁棒性的结构森林边缘检测(Strected Forests Edge Detection, SE)算法,对海口市西海岸砂质岸线进行识别,并提出基于Bruun-Dean平衡剖面模式建立拟合剖面模型的潮位校正新方法,结合实测数据对提取结果进行了精度评估和误差分析,最终提取得到了精细海岸线数据。研究表明,SE算法检测所得水边线结果清晰细腻,对比Roberts算子、Canny算子、LoG算子等传统边缘检测算子法更加精准高效,适用于高分遥感影像海岸线提取研究;针对砂质岸线的潮位校正,基于RTK实测剖面数据和拟合剖面模式建立的拟合剖面模型,克服了传统线性模型误差较大的问题,提升了海岸线校正的精度和可行性;基于实测岸线,使用断面法对结果进行定量分析,验证所得提取岸线定位精度优于2.5 m。

关 键 词:WorldView-2   海岸线   边缘检测   平衡剖面模式   潮位校正   高分影像
收稿时间:2021-07-19
修稿时间:2021-08-27

Sandy coastline fine extraction and correction method based on high resolution image
Yin Hang,Qi Hongshuai,Cai Feng, et al. Sandy coastline fine extraction and correction method based on high resolution image[J]. Haiyang Xuebao,2022, 44(4):143–152 doi: 10.12284/hyxb2022084
Authors:Yin Hang  Qi Hongshuai  Cai Feng  Zhang Chi  Liu Gen  Zhao Shaohua  Song Jiacheng  Zhao Guorun
Affiliation:1. Laboratory of Ocean and Coast Geology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China;;2. Fujian Provincial Key Laboratory of Marine Ecological Protection and Restoration, Xiamen 361005, China;;3. College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
Abstract:The stable acquisition of large-scale and continuous coastline data through remote sensing is an important basis for the development of coastal zone research. Aiming at the problems of noise sensitivity and threshold instability in the traditional edge detection algorithm for high-resolution remote sensing images, the strected forests edge detection algorithm based on the structured random forest model is introduced to identify the sandy shoreline of the west coast of Haikou City, and proposed based on the Bruun-Dean balanced profile model, a new method of tide level correction is established to fit the profile model, and finally the fine coastline data is extracted. Based on the measured data, the precision evaluation and error analysis of the extraction results are carried out, and the prospects for method improvement and popularization and application are put forward. The research show that: (1) the result of the water edge line detected by the strected forests edge detection algorithm is clear and delicate, which is more accurate and efficient than the traditional edge detection operator methods such as Roberts operator, Canny operator, and LoG operator, and is suitable for the study of coastline extraction from high-resolution remote sensing images; (2) aiming at the tide level correction of the sandy coastline, the fitted profile model established based on the RTK measured data and the fitted profile model overcomes the large error of the traditional linear model and improves the accuracy and feasibility of the coastline correction; (3) based on actual measurement for the shoreline, the results are quantitatively analyzed using the section method, and it is verified that the positioning accuracy of the extracted shoreline is better than 2.5 m.
Keywords:WorldView-2  coastline  edge detection  balanced profile mode  tide level correction  high resolution image
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