基于Landsat-8 OLI数据的青海湖水体边界自动提取
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摘要
在青海湖Landsat-8OLI遥感数据水体光谱特征分析的基础上,利用绿光(Band 3)和近红外(Band 5)两个波段,借助ENVI内置IDL语言的数据转换规则提出了一种新的水体提取方法IDLWI,加大影像中水体与非水体的灰度差,以利于水体识别。而后在水体识别的基础上,基于Canny算子进行水体边界矢量数据自动提取。分别运用"MNDWI(改进的归一化水体指数)+Canny算子"、"谱间关系法+Canny算子"和"IDLWI+Canny算子"提取青海湖边界,经高分影像目视判别和GIS空间缓冲区分析。结果表明:"IDLWI+Canny算子"提取出的青海湖湖体边界在位置准确性和连续性方面有明显的改进,尤其可以较好地提取出青海湖水体与湖滩地的边界(包括水体内裸露土地边缘)。
based on the analysis of water spectral signatures in Landsat-8 OLI remotely sensed image covered Qinghai Lake and ENVI software,a new method referred to as the "IDLWI"(Interactive Data Language Water Index)was put forward to identify water body.The method is to amplify the digital number(DN)values between water and non water body by the difference operation between the squared green band(Band 3)and the squared near-infrared band(Band 5),with the help of IDL language data conversion rules built in ENVI software.On the basis of water identification,an improved Canny operator was applied to automatically extract Qinghai Lake boundary in the format of vector.In this paper,Qinghai Lake boundary was extracted by means of MNDWI plus improved Canny operator,the law of spectrum relevance plus improved Canny operator and the squared-difference method plus improved Canny operator respectively.The extracting results were verified by high spatial remotely sensed image and GIS spatial analysis,and it shows that there is an obvious improvement in accuracy and continuity compared to the methods of MNDWI plus improved Canny operator,and the law of spectrum relevance plus improved Canny operator.Besides,the method we proved did well in extracting the boundaries of water which is linked to overflow land and wetland.
based on the analysis of water spectral signatures in Landsat-8 OLI remotely sensed image covered Qinghai Lake and ENVI software,a new method referred to as the "IDLWI"(Interactive Data Language Water Index)was put forward to identify water body.The method is to amplify the digital number(DN)values between water and non water body by the difference operation between the squared green band(Band 3)and the squared near-infrared band(Band 5),with the help of IDL language data conversion rules built in ENVI software.On the basis of water identification,an improved Canny operator was applied to automatically extract Qinghai Lake boundary in the format of vector.In this paper,Qinghai Lake boundary was extracted by means of MNDWI plus improved Canny operator,the law of spectrum relevance plus improved Canny operator and the squared-difference method plus improved Canny operator respectively.The extracting results were verified by high spatial remotely sensed image and GIS spatial analysis,and it shows that there is an obvious improvement in accuracy and continuity compared to the methods of MNDWI plus improved Canny operator,and the law of spectrum relevance plus improved Canny operator.Besides,the method we proved did well in extracting the boundaries of water which is linked to overflow land and wetland.
引文
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[2]Li Xiaoyan,Li Fengxia,Ma Yujun,et al.Wetland Restoration and Biodiversity Conservation in Qinghai Lake Basin[M].Beijing:Science Press,2016:244.[李小雁,李凤霞,马育军,等.青海湖流域湿地修复与生物多样性保护[M].北京:科学出版社,2016:244.]
[3]Liu H,Jezek K C.Automated Extraction of Coastline from Satellite Imagery by Integrating Canny Edge Detection and Locally Adaptive Thresholding Methods[J].International Journal of Remote Sensing,2004,25(5):937-958.
[4]Wang Lijuan,Niu Zheng,Zhao Degang,et al.The Study of Coastline Extraction and Validation Using ETM Remote Sensing Image[J].Remote Sensing Technology and Application,2010,25(2):235-239.[王李娟,牛铮,赵德刚,等.基于ETM遥感影像的海岸线提取与验证研究[J].遥感技术与应用,2010,25(2):235-239.]
[5]Abolhassani N,Kimm H.Performance Analysis on Edge Detection Algorithms for Coastline Image Detection[C]∥Iasted International Conference on Visualization,Imaging,and Image Processing.2012:1015-1025.
[6]Kuleli T.Quantitative Analysis of Shoreline Changes at the Mediterranean Coast in Turkey[J].Environmental Monitoring and Assessment,2010,167(1-4):387-397.
[7]Li Ling,Zhou Xinzhi,Huang Jun.Water Edge Detection of MODIS Image based on Combined Multi-structure Elements[J].Science of Surveying and Mapping,2013,38(2):90-92.[李玲,周新志,黄君.多结构元素组合型MODIS影像水体边缘检测[J].测绘科学,2013,38(2):90-92.]
[8]Liao Xuanzhi,Xiong Xianming,Zhang Wentao.An Approach for Split Line Extraction of Water and Land from Shadow Area of Remote Sensing Images based on ENVI/IDL[J].Journal of Guilin University of Electronic Technology,2016,36(6):500-503.[廖旋芝,熊显名,张文涛.基于ENVI/IDL的遥感影像阴影区域内水陆分割线的提取方法[J].桂林电子科技大学学报,2016,36(6):500-503.]
[9]Qian Lihui,Yu Chenglong,Xu Jin,et al.Extracting Water Body Information based on Canny Algorithm and Decision Tree[J].Geomatics and Spatial Information Technology,2016,39(10):178-181.[钱立辉,于成龙,徐进,等.基于Canny算子与决策树模型的水体信息提取研究[J].测绘与空间地理信息,2016,39(10):178-181.]
[10]Luo Chengfeng,Xu Changjun,Cao Yinxuan,et al.Monitoring of Water Surface Area in Lake Qinghai from 1974to 2016[J].Journal of Lake Sciences,2017,29(5):1245-1253.[骆成凤,许长军,曹银璇,等.1974-2016年青海湖水面面积变化遥感监测[J].湖泊科学,2017,29(5):1245-1253.]
[11]Yang Yinglian,Yin Qingjun.Identification of Lake Water based on MODIS Data[J].Qinghai Meteorology,2003,(4):37-41.[杨英莲,殷青军.青海省湖泊遥感监测研究[J].青海气象,2003,(4):37-41.]
[12]Yin Qingjun,Yang Yinglian.Remote Sensing Monitoring of Lake Qinghai based on EOS/MODIS Data[J].Journal of Lake Sciences,2005,17(4):356-360.[殷青军,杨英莲.基于EOS/MODIS数据的青海湖遥感监测[J].湖泊科学,2005,17(4):356-360.]
[13]Li Xiaodong,Xiao Jianshe,Li Fengxia,et al.Remote Sensing Monitoring of the Qinghai Lake based on EOS/MODIS Data in Recent 10 Years[J].Journal of Natural Resources,2012,27(11):1962-1970.[李晓东,肖建设,李凤霞,等.基于EOS/MODIS数据的近10a青海湖遥感监测[J].自然资源学报,2012,27(11):1962-1970.]
[14]Tian Huiyun,Zhou Keqin.Identification of Lake Water based on MODIS Data[J].Information of China Construction,2008,(20):49-50.[田慧云,周克勤.基于MODIS数据的湖泊水体识别[J].中国建设信息,2008,(20):49-50.]
[15]Liu Baokang,Wei Xuli,Du Yue,et al.Dynamics of Qinghai Lake Area based on Environmental Mitigation Satellite Data[J].Pratacultural Sciences,2013,30(2):178-184.[刘宝康,卫旭丽,杜玉娥,等.基于环境减灾卫星数据的青海湖面积动态[J].草业科学,2013,30(2):178-184.]
[16]Feng Zhongkui,Li Xiaohui.Remote Sensing Monitoring Study for Water Area Change and Lake Shore Evolution of Qinghai Lake in Last 20Years[J].Journal of Palaeogeography,2006,8(1):131-141.[冯钟葵,李晓辉.青海湖近20年水域变化及湖岸演变遥感监测研究[J].古地理学报,2006,8(1):131-141.]
[17]Li Jinshan.Application of Water Index in Lake Information Extraction[J].Siliconvalley,2013,(8):72,48.[李金山.水体指数在湖泊信息提取中的应用[J].硅谷,2013,(8):72,48.]
[18]Liu Ruixia,Liu Yujie.Area Changes of Lake Qinghai in the Latest 20Years based on Remote Sensing Study[J].Journal of Lake Sciences,2008,20(1):135-138.[刘瑞霞,刘玉洁.近20年青海湖湖水面积变化遥感[J].湖泊科学,2008,20(1):135-138.]
[19]Chen Guichen,Peng Min,Zhou Lihua,et al.Influence of Human Activites on Ecological Environment and Countermeasures of Environment Protection in Qinghai Lake Region[J].Arid Land Geography,1995,18(3):57-62.[陈桂琛,彭敏,周立华,等.青海湖地区人类活动对生态环境影响及其保护对策[J].干旱区地理,1995,18(3):57-62.]
[20]Wang Hai,Tong Hengjian,Zuo Boxin,et al.Integration of Multiscale Segmentation Algorithm and Vectorization Algorthm for Remote Sensing Image[J].Computer Engineering,2014,40(6):256-261.[王海,童恒建,左博新,等.遥感图像多尺度分割算法与矢量化算法的集成[J].计算机工程,2014,40(6):256-261.]
[21]Chen Guicheng,Chen Xiaoquan,Gou Xinjing.Ecological Environment Protection and Restoration in Qinghai Lake Basin[M].Xining:Qinghai People’s Publishing House,2008.[陈桂琛,陈孝全,苟新京.青海湖流域生态环境保护与修复[M].西宁:青海人民出版社,2008.]
[22]Guo Wu.Studies on Changes in Stage and Evolution of Ecological Environment for the Qinghai Lake[J].Journal of Arid Land Resources and Environment,1997,11(2):75-80.[郭武.青海湖水位下降与湖区生态环境演变研究[J].干旱区资源与环境,1997,11(2):75-80.]
[23]Xu Shuying,Xu Defu.A Primary Observation of Aeolian Sand Deposits on Eastern Shore of the Qinghai Lake[J].Journal of Desert Research,1983,3(3):11-17.[徐叔鹰,徐德馥.青海湖东岸的风沙堆积[J].中国沙漠,1983,3(3):11-17.]
[24]Chu Qingwei,Zhang Hongqun,Wu Yewei,et al.Application Research of Landsat-8[J].Remote Sensing Information,2013,28(4):110-114.[初庆伟,张洪群,吴业炜,等.Landsat-8卫星数据应用探讨[J].遥感信息,2013,28(4):110-114.]
[25]Zhang Yujun.Brief Introduction of Landsat8[J].Remote Sensing For Land and Resources,2013,25(1):176-177.[张玉君.Landsat8简介[J].国土资源遥感,2013,25(1):176-177.]
[26]Mcfeeters S K.The Use of the Normalized Difference Water Index(NDWI)in the Delineation of Open Water Features[J].International Journal of Remote Sensing,1996,17(7):1425-1432.
[27]Xu Hanqiu.A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index(MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595.[徐涵秋.利用归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.]
[28]Du Yunyan,Zhou Chenghu.Automatically Extracting Remote Sensing Information for Water Bodies[J].Journal of Remote Sensing,1998,2(4):264-269.[杜云艳,周成虎.水体的遥感信息自动提取方法[J].遥感学报,1998,2(4):264-269.]
[29]Bai Chunlan.Application of Matlab in Image Edge Extraction[J].Science and Technology Information,2009,(14):224-225.[柏春岚.Matlab在图像边缘提取中的应用[J].科技信息,2009,(14):224-225.]
[30]Canny J.A Computational Approach to Edge Detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-698.
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