Coastline extraction algorithm for SAR images based on automatic threshold and regional growth
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摘要: 为实现对海岸线的动态监管和监测,提出了一种自动阈值与区域增长相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)影像海岸线自动提取方法。首先结合Canny边缘检测和最大类间方差法(OTSU方法)实现自动阈值分割提取水陆分界线; 在自动阈值提取的基础上,对水域进行开运算和图像分割,将占有较大比例的海上水体作为种子点进行区域增长,获取海上水体,从而去除陆地水体、阴影等误分为海域的部分; 之后对区域增长法获取的海陆分割结果进行去噪、填充等形态学优化处理,填补海上船体、风车、岛礁等造成的空洞影像,形成最终的海陆分割结果; 最后,使用Canny边缘检测算子获取海岸线。基于江苏海岸带的实验结果表明该方法可以高精度地提取出光滑、连续的海岸线,在SAR影像海岸线提取中具有较强的实用性。Abstract: In order to achieve dynamic supervision and monitor the coastline, SAR image coastline automatic extraction method combined with automatic threshold and regional growth is proposed. First, the combination of the Canny edge detection and OTSU method is applied to realize the automatic threshold extraction of the water and land boundary line. Based on the automatic threshold results, the water area is operated opening and segmentation to obtain the large proportion of sea water body as a seed point for regional growth for getting the sea water, thus the part of the terrestrial water body and shadow was removed. Then, the sea-land segmentation acquired by the regional growth method is denoising, filling morphological optimization processing to fill the void caused by sea hull, windmill and island reef, so the final sea-land segmentation result was finally formed. At last, the Canny edge detection operator was used to obtain the coastline. The experimental results of Jiangsu costal zone show that the smooth and continuous coastlines can be accurately extracted by the proposed method, which has strong practicality in the SAR coastline extraction.
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Key words:
- SAR image /
- coastline extraction /
- automatic threshold /
- regional growth
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[1] Yin J,Yin Z N,Wang J,et al.National assessment of coastal vulnerability to sea-level rise for the Chinese coast[J].J Coast Conserv,2012,16(1):123-133.
[2] 吴一全,刘忠林.遥感影像的海岸线自动提取方法研究进展[J].遥感学报,2019,23(4):582-602.
[3] Wu Y Q,Liu Z L.Research progress on methods of automatic coastline extraction based on remote sensing images[J].J Remote Sens,2019,23(4):582-602.
[3] 刘永坦. 雷达成像技术[M].哈尔滨:哈尔滨工业大学出版社,1999:169-170.
[5] Liu Y T.Radar Imaging Techndogy[M].Harbin Institute of Technology Press,1999:169-170.
[4] Franceschetti G,Lanari R.Synthetic Aperture Radar Proce-ssing[M].2nd ed.New York:CRC Press,1999.
[5] 陈祥,孙俊,尹奎英,等.基于OTSU与海域统计特性的SAR图像海陆分割算法[J].数据采集与处理,2014,29(4):603-608.
[8] Chen X,Sun J,Yin K Y,et al.Sea-land segmentation algorithm of SAR image based on OTSU method and statistical characteristic of sea area[J].J Data Acquisit Process,2014,29(4):603-608.
[6] 范建超,姜大伟,赵建华,等.GF-3号SAR卫星遥感围填海监测方法研究——以大连金州湾为例[J].海洋科学,2017,41(12):60-65.
[10] Fan J C,Jiang D W,Zhao J H,et al.Marine reclamation monitoring approach research based on GF-3 remote sensing image:A case study of the Jinzhou Bay in Dalian[J].Mar Sci,2017,41(12):60-65.
[7] 胡娇静,赵争,王志勇,等.SAR影像海岸线提取方法对比及效果评价[J].遥感信息,2017,32(4):58-63.
[12] Hu J J,Zhao Z,Wang Z Y,et al.Comparison and effectiveness evaluation for methods of coastline extraction from SAR ima-gery[J].Remote Sens Inform,2017,32(4):58-63.
[8] 邱志伟,刘晓霞,章铭诚.基于星载SAR影像的苏北地区海岸线提取研究[J].地理空间信息,2021,19(1):4-7.
[14] Qiu Z W,Liu X X,Zhang M C.Research on extraction of coastline in North Jiangsu based on spaceborne SAR image[J].Geospat Inform,2021,19(1):4-7.
[9] 王志一,徐素宁,姜艳辉,等.苏北废黄河三角洲岸线变迁与海岸冲淤动态遥感监测[J].南水北调与水利科技,2013,11(1):136-139,154.
[16] Wang Z Y,Xu S N,Jiang Y H,et al.Remote sensing based dynamic monitoring of coastline change and coastal erosion and deposition of the abandoned Yellow River Delta in Northern Area of Jiangsu Province[J].South-to-North Water Transfers Water Sci Technol,2013,11(1):136-139,154.
[10] 丁志磊,王志一,徐素宁.苏北淤泥质海岸线提取及精度检验[J].南水北调与水利科技,2014,12(6):140-144.
[18] Ding Z L,Wang Z Y,Xu S N.Extraction of coastline and accuracy detection in muddy coast zone of Jiangsu Province[J].South-to-North Water Transfers Water Sci Technol,2014,12(6):140-144.
[11] 蔡改贫,刘占,汪龙,等.基于形态学优化处理的标记符分水岭矿石图像分割[J].科学技术与工程,2020,20(23):9497-9502.
[20] Cai G P,Liu Z,Wang L,et al.Image segmentation of watershed ore based on morphological optimization[J].Sci Technol Eng,2020,20(23):9497-9502.
[12] 张过,蒋永华,李立涛,等.高分辨率光学/SAR卫星几何辐射定标研究进展[J].测绘学报,2019,48(12):1604-1623.
[22] Zhang G,Jiang Y H,Li L T,et al.Research progress of high-resolution optical/SAR satellite geometric radiometric calibration[J].Acta Geodaet Cartograph Sin,2019,48(12):1604-1623.
[13] 郎丰铠,杨杰,李德仁.极化SAR图像自适应增强Lee滤波算法[J].测绘学报,2014,43(7):690-697.
[24] Lang F K,Yang J,Li D R.An adaptive enhanced lee speckle filter for polarimetric SAR image[J].Acta Geodaet Cartograph Sin,2014,43(7):690-697.
[14] 侯家槐,吕宝庆,张俊.基于RD模型的SAR影像正射纠正研究[J].测绘与空间地理信息,2012,35(4):100-103.
[26] Hou J H,Lv B Q,Zhang J.Study on orthorectification of SAR image based on range-doppler model[J].Geomat Spat Inform Technol,2012,35(4):100-103.
[15] 高磊,吴勤书.基于GDAL的遥感影像优化线性拉伸增强实现[J].北京测绘,2020,34(11):1508-1510.
[28] Gao L,Wu Q S.Optimized linear stretch for remote sensing images based on GDAL[J].Beijing Survey Mapp,2020,34(11):1508-1510.
[16] 李春升,于泽,陈杰.高分辨率星载SAR成像与图像质量提升方法综述[J].雷达学报,2019,8(6):717-731.
[30] Li C S,Yu Z,Chen J.TN958 overview of techniques for improving high-resolution spaceborne SAR imaging and image qua-lity[J].J Radars,2019,8(6):717-731.
[17] 张德丰. 数字图像处理:MATLAB版[M].人民邮电出版社,2009.
[32] Zhang D F.Digital Image Processing:MATLAB[M].Posts & Telecom Press,2009.
[18] Canny J.A computational approach to edge detection[J].IEEE Trans Patt Anal Mach Intellig,1986,8(6):679-698.
[19] 田明锐,孙宏斐,胡永彪,等.一种新的基于Canny算子的道路标线检测算法[J].电子设计工程,2021,29(1):16-19.
[35] Tian M R,Sun H F,Hu Y B,et al.A new road marking detection algorithm based on Canny operator[J].Electr Des Eng,2021,29(1):16-19.
[20] 张磊,陈海花.基于Otsu方法和数学形态学的SAR图像海岸线检测[J].微计算机信息,2011,27(7):207-208,230.
[37] Zhang L,Chen H H.Coastline detection in SAR imagery based on Otsu algorithm and mathematical morphology[J].Microcomputer Inform,2011,27(7):207-208,230.
[21] Krawczyk A,Kubacki R,Wiak S,et al.Medical Image Segmentation Hybrid Algorithm Based on Otsu Method and Markov Random Fields[M].IOS Press,2008.
[22] 王娜,田磊,文可戈,等.基于遥感技术的矿山生态修复调查研究——以冀东铁矿为例[J].金属矿山,2021(10):192-198.
[40] Wang N,Tian L,Wen K G,et al.Mine environment investigation and research based on remote sensing technology:A case study of the Jidong iron mine[J].Met Min,2021(10):192-198.
[23] 宋莹,陈科,林江莉,等.基于图像分块的边缘检测算法[J].计算机工程,2010,36(14):196-197,200.
[42] Song Y,Chen K,Lin J L,et al.Edge detection algorithm based on image partition[J].Comput Eng,2010,36(14):196-197,200.
[24] Cristobal G,Schelkens P,Thienpont H.Optical and Digital Image Processing:Fundamentals and Applications[M].Weinheim:Wiley-VCH,2011.
[25] Image Segmentation[M].INTECH Open Access Publisher,2011.
[26] 刘思言,李玲,特日根,等.基于直方图区域生长的遥感图像阈值分割算法[J].测绘通报,2021(2):25-29.
[46] Liu S Y,Li L,Te R G,et al.Threshold segmentation algorithm based on histogram region growing for remote sensing images[J].Bull Survey Mapp,2021(2):25-29.
[27] Donchyts G,Schellekens J,Winsemius H,et al.A 30 m resolution surface water mask including estimation of positional and thematic differences using Landsat 8,SRTM and OpenStreetMap:A case study in the Murray-darling Basin,Australia[J].Remote Sens,2016,8(5):386.
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