海岸线是海岛海岸带研究的基础要素,对于海岸带资源开发利用具有重要意义。遥感技术凭借其宏观、多光谱且周期短等特点成为快速提取海岸线的重要技术手段。本文采用高分辨率遥感数据WorldView-2对海岸线两侧地物的表观反射率进行分析,并开展特征分析,构建了海岸线提取指数。在此基础上,进一步结合纹理特征提取方法,成功提取了马来西亚棉花岛的海岸线。基于线目标匹配法对提取结果进行精度评价,其中长度误差为-1.38%,在缓冲半径为6个像素单位时,完整度为96.96%,正确度为95.37%。结果表明,用该方法提取的海岸线精度较高,可满足遥感调查的需要。
Abstract
Coastline is a fundamental element of the island and coastal zone research, which is of great significance to the exploitation and utilization of coastal resources. Remote sensing technology has become an important technical means for quickly extracting coastlines due to its macroscopic, multi-spectral and short cycle characteristics. In this study, the apparent reflectance of ground objects on both sides of the coastline was analyzed by using high-resolution remote sensing data WorldView-2, and the feature analysis was carried out to construct the coastline extraction index. On this basis, the shoreline of the Cotton Island, Malaysia was successfully extracted by further combining the texture feature extraction method. Then the accuracy of the extraction results was evaluated based on the lines matching method. The length error is -1.38%. When the buffer radius is 6 pixels, the integrity is 96.96% and the accuracy is 95.37%. The results show that this method could effectively extract the coastline and meet the demand for remote sensing survey.
关键词
海岸线 /
表观反射率 /
提取指数 /
遥感
Key words
coastline /
apparent reflectance /
extraction index /
remote sensing
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] BOAK E H, TURNER I L. Shoreline definition and detection: A review[J]. Journal of Coastal Research, 2005, 21(4):688-703.
[2] WU Ting, HOU Xi-yong. Review of research on coastline changes[J]. Acta Ecologica Sinica, 2016, 36(4): 1 170-1 182.
毋亭,侯西勇. 海岸线变化研究综述[J]. 生态学报, 2016, 36(4): 1 170-1 182.
[3] GUO Hai-tao, SUN Lei, SHEN Jia-shuang, et al. An island and coastal image segmentation method based on quadtree and GAC model[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(1):65-72.
郭海涛,孙磊,申家双,等. 一种四叉树和测地线活动轮廓模型相结合的海陆影像分割方法[J]. 测绘学报, 2016, 45(1): 65-72.
[4] ZHAN Ya-ting, ZHU Li, SUN Yong-hua, et al. Automatic extraction of coastline via spectral angle-distance similarity growth model[J]. Journal of Remote Sensing, 2017, 21(3): 458-469.
詹雅婷,朱利,孙永华,等. 海岸线遥感光谱角度-距离相似度生长模型自动化提取[J]. 遥感学报, 2017, 21(3): 458-469.
[5] ALI T, ATABAY S, MORTULA M. Semiautomatic extraction of the shoreline from high-resolution satellite imagery and coastal terrain model[J]. Surveying and Land Information Science, 2015, 1(74): 15-21.
[6] MAGLIONE P, PARENTE C, VALLARIO A. Coastline extraction using high resolution WorldView-2 satellite imagery[J]. European Journal of Remote Sensing, 2017, 47(1): 685-699.
[7] ZHENG Zhong-wu. Application of fuzzy clustering based on the ant colony algorithm in the extraction of remote sensing coastline[D]. Hangzhou: Zhejiang University of Technology, 2016.
郑中武. 蚁群模糊聚类算法在遥感海岸线提取中的应用研究[D].杭州:浙江工业大学, 2016.
[8] WANG Chang-ying, WANG Zhi-rui, CHU Jia-lan, et al. Coastline extraction from high-resolution image based on decision tree and density clustering algorithms[J]. Marine Environmental Science, 2017, 36(4): 590-595.
王常颖,王志锐,初佳兰,等. 基于决策树与密度聚类的高分辨率影像海岸线提取方法[J]. 海洋环境科学, 2017, 36(4): 590-595.
[9] WANG Peng, SUN Gen-yun, WANG Zhen-jie. Semi-automatic extraction of coastlines based on high-resolution remote sensing imagery[J]. Hydrographic Surveying and Charting, 2016, 36(6): 24-27.
王鹏,孙根云,王振杰. 高分辨率遥感影像海岸线半自动提取方法[J]. 海洋测绘, 2016, 36(6): 24-27.
[10] ZHOU Ya-nan, ZHU Zhi-wen, SHEN Zhan-feng, et al. Automatic extraction of coastline from TM image integrating texture and spatial relationship[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2012, 48(2): 273-279.
周亚男,朱志文,沈占锋,等. 融合纹理特征和空间关系的TM影像海岸线自动提取[J]. 北京大学学报: 自然科学版, 2012, 48(2): 273-279.
[11] WANG Long-qiang, LI Zhi-yong, LIU Jie. Accuracy control analysis in island mapping based on WorldView satellite images[J]. Hydrographic Surveying and Charting, 2013, 33(2):45-48.
王龙强,李志勇,刘婕. 基于WorldView卫星影像的海岛测图精度控制分析[J]. 海洋测绘, 2013, 33(2):45-48.
[12] HOCHBERG E J, ANDREFOUET S, TYLER M R. Sea surface correction of high spatial resolution Ikonos images to improve bottom mapping in near-shore environments[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(7): 1 724-1 729.
[13] LI Long-long, LIU Jian-qiang, ZOU Bin. A method to remove sun glint in depth derivation from WorldView-2 remote sensing images[J]. Marine Forecasts, 2015, 32(1):53-57.
李龙龙,刘建强,邹斌. 基于WorldView-2 遥感影像反演浅海水深过程中太阳耀斑的去除方法[J]. 海洋预报, 2015, 32(1):53-57.
[14] HEDLEY J, HARBORNE A, MUMBY P. Technical note: Simple and robust removal of sun glint for mapping shallow-water benthos[J]. International Journal of Remote Sensing, 2005, 26(10): 2 107-2 112.
基金
国家重点研发计划项目资助(2017YFC0506501);国家自然科学基金项目资助(41301468);首都师范大学青年科研创新团队项目资助