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高分影像砂质海岸线精细提取及校正方法

尹航 戚洪帅 蔡锋 张弛 刘根 赵绍华 宋嘉诚 赵国润

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
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
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
Citation: 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

高分影像砂质海岸线精细提取及校正方法

doi: 10.12284/hyxb2022084
基金项目: 国家自然科学基金(41930538,42076058);自然资源部第三海洋研究所基本科研业务费(2019026)。
详细信息
    作者简介:

    尹航(1996—),男,山东省济宁市人,主要从事海岸带遥感观测研究。E-mail: yhcomyo@163.com

    通讯作者:

    戚洪帅(1980—),男,山东省日照市人,研究员,主要从事海岸动力地貌研究。E-mail: qihongshuai@tio.org.cn

  • 中图分类号: P737.1;TP79

Sandy coastline fine extraction and correction method based on high resolution image

  • 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。
  • 图  1  随机森林模型示意图

    Fig.  1  Schematic diagram of random forest model

    图  2  结构森林边缘检测算法边缘概率

    Fig.  2  Edge probability of strected forests edge detection

    图  3  线性潮位校正模型原理(修改自文献[27])

    Fig.  3  The principle of linear tide level correction model (modified from reference[27])

    图  4  拟合剖面潮位校正模型原理

    Fig.  4  The principle of the tide level correction model of the fitted profile

    图  5  研究区地理位置

    Fig.  5  Geographical location of the study area

    图  6  砂质岸线精细提取技术流程

    Fig.  6  Sandy shoreline extraction technology process

    图  7  边缘检测算法效果

    Fig.  7  Edge detection algorithm effect

    图  8  水边线检测结果

    Fig.  8  Detection results of land and water boundary lines

    图  9  潮位校正模型拟合结果对比

    Fig.  9  Comparison of fitting results of tide level correction models

    图  10  研究区海岸线提取结果

    Fig.  10  Extraction results of coastline in the study area

    图  11  断面及参考点布置图

    Fig.  11  Transects and reference points layout drawing

    图  12  提取岸线偏移量统计

    Fig.  12  Extract coastline offset statistics

    表  1  边缘检测算法质量评价结果

    Tab.  1  Quality evaluation results edge detection algorithm

    边缘检测算法帧速率/fps连续性(Cdr)/%F值/%阈值参数
    SE6092.774.3自适应
    Roberts1575.453.90~1
    Canny1583.561.10~1
    LoG1556.348.3自适应
    下载: 导出CSV

    表  2  拟合模型评价参数

    Tab.  2  Fitting model evaluation parameter

    模型误差平方和确定系数均方根误差
    剖面模型15.180.930.24
    线性模型24.410.780.32
    下载: 导出CSV
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  • 收稿日期:  2021-07-19
  • 修回日期:  2021-08-27
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