基于自动阈值分类的高分辨率影像海陆分界线自动提取  

Automatic Extraction of The Sea-land Boundary from High Spatial Resolution Images based on Automatic Threshold Segmentation

作　　者：李业钦 王常颖 隋毅 初佳兰[2] 李劲华 Li Yeqin;Wang Changying;Sui Yi;Chu Jialan;Li Jinhua(College of Computer Science and Technology,Qingdao University,Qingdao 266071,China;National Marine Environmental Monitoring Center,Dalian 116023,China)

机构地区：[1]青岛大学计算机科学技术学院,山东青岛266071 [2]国家海洋环境监测中心,辽宁大连116023

出　　处：《遥感技术与应用》2021年第6期1379-1387,共9页Remote Sensing Technology and Application

基　　金：国家自然科学面上基金项目“基于多时相高分遥感影像的筏式养殖藻类分类识别方法”(41706105);“基于复杂网络的国产高分影像围填海类型早期识别方法研究”(41706198);山东省重点研发计划“重大科技创新工程工业制造设备预测性维护的关键技术研究”(2019JZZY020101);全国统计科学研究项目“基于系统级模型构建的关系复杂大数据分析方法及其应用”(2017LY14)资助。

摘　　要：海陆分界线的变化对滩涂面积和湿地系统变化具有指示作用并且影响航运活动,因而需提取海陆分界线。视海陆分界线为陆地(包括淤泥质潮滩)和海水(包括河道)的瞬时分界线。首先,构建近红外—绿—蓝波段的假彩色图像,进行色彩、对比度增强和双边滤波处理;其次,构建海陆分界线提取指数(Sea-land Boundary Extraction Index,SBEI),并利用自动阈值分析方法,将影像分为海洋和大陆,同时合并陆地碎斑。针对河道伸入陆地的问题,对于宽度为W的河口,采用步长为W+1的膨胀腐蚀的方法消除;最后用Canny算子提取海陆分界线。为验证算法的有效性,选取1m分辨率的高分二号卫星影像,对3种海岸类型进行实验,结果表明此方法的提取精度约为5个像元,相较NDWI和CV模型的提取精度至少提高10个像元。The changes of sea-land boundary have indication effect on the changes of the intertidal areas and wetland system,and also influence sailing activities.The sea-land boundary is regarded as the transient boundary between land(including tidal flat)and sea(including rivers and ditches).Firstly,pre-processing such as color and contract enhancement and bilateral filtering is applied on false color images combined with near-infrared,green and blue bands.Secondly,the Sea-land Boundary Extraction Index(SBEI)is constructed.Then,the automatic threshold analysis method is used to divide the images into ocean and continent,combining ocean areas on land by mistake with continent afterwards.In order to solve the problem of landward extending shoreline caused by the W width rivers,a specific erosion and dilation algorithm with the matrix of W+1 width is applied.Finally,the Canny edge detection operator is used to extract the boundary on images.To verify the effectiveness of this algorithm,GF-2 satellite images of three different areas with a resolution of one meter were used to conduct the experiments.The results show that the extraction accuracy by the proposed method is about5 pixels,which is improved at least 10 pixels compared with NDWI and CV model.

关 键 词：海陆分界线提取 自动阈值分类 高分辨率影像 高分二号卫星 海陆分界线提取指数 

分 类 号：P737.11[天文地球—海洋地质]