MODIS数据的洪水淹没亚像元制图研究
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摘要
针对MODIS影像中普遍存在的混合像元问题,该文基于MYD09GA地表反射率数据,实现了洪水淹没的亚像元级别的空间细节定位,并加入数字高程模型(DEM)高程信息修正了亚像元制图结果,两结果与传统硬分类法提取结果进行了比较。结果表明,亚像元制图算法较传统硬分类法对洪水淹没范围提取精度更高,能够很好地保持水体空间细节特征,DEM修正后的亚像元定位结果精度进一步提高。
A im ing at the com m on m ixed pixel problem in m oderate-resolution im aging spectroradiom eter(M ODIS)im ages,this paper realized the sub-pixel level spatial detail location of flood subm ergence based on the MYD09 GA surface reflectance data,and added the digital elevation m odel(DEM)elevation inform ation to correct sub-pixel m apping results.T he tw o results w ere com pared w ith the traditional hard classification m ethod.T he experim ental results show ed that the sub-pixel m apping algorithm w as m ore accurate than the traditional hard classification m ethod in extracting the flood subm erged range,and it could keep the spatial details of the w ater w ell.T he accuracy of sub-pixel m apping results corrected by DEM w as further im proved.
A im ing at the com m on m ixed pixel problem in m oderate-resolution im aging spectroradiom eter(M ODIS)im ages,this paper realized the sub-pixel level spatial detail location of flood subm ergence based on the MYD09 GA surface reflectance data,and added the digital elevation m odel(DEM)elevation inform ation to correct sub-pixel m apping results.T he tw o results w ere com pared w ith the traditional hard classification m ethod.T he experim ental results show ed that the sub-pixel m apping algorithm w as m ore accurate than the traditional hard classification m ethod in extracting the flood subm erged range,and it could keep the spatial details of the w ater w ell.T he accuracy of sub-pixel m apping results corrected by DEM w as further im proved.
引文
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[18]LING Feng,XIAO Fei,DU Yun,et al.Waterline mapping at the subpixel scale from remote sensing imagery with high-resolution digital elevation models[J].International Journal of Remote Sensing,2008,29(6):1809-1815.
[19]GIRALDO-OSORIO J D,GARCA-GALIANO S G.Development of a sub-pixel analysis method applied to dynamic monitoring of floods[J].International Journal of Remote Sensing,2012,33(7):2277-2295.
[20]HUANG Chang,CHEN Yun,WU Jianping.DEMbased modification of pixel-swapping algorithm for enhancing floodplain inundation mapping[J].International Journal of Remote Sensing,2014,35(1):365-381.
[2]毕海芸,王思远,曾江源,等,基于TM影像的几种常用水体提取方法的比较和分析[J].遥感信息,2012,27(5):77-82.(BI Haiyun,WANG Siyuan,ZENG Jiangyuan,et al.Comparison and analysis of several common water extraction methods based on TM image[J].Remote Sensing Information,2012,27(5):77-82.)
[3]孔凡明,蒋卫国,李京,等.基于MODIS的2011年泰国洪涝受灾信息提取与分析[J].灾害学,2013,28(2):95-99.(KONG Fanming,JIANG Weiguo,LI Jing,et al.Extraction and analysis of Thailand flood affected region in 2011based on MODIS data[J].Journal of Catastrophology,2013,28(2):95-99.)
[4]许超,蒋卫国,万立冬,等.基于MODIS时间序列数据的洞庭湖区洪水淹没频率研究[J].灾害学,2016,31(1):96-101.(XU Chao,JIANG Weiguo,WAN Lidong,et al.Research of flood submerged frequency in Dongting lake region based on time series dataset of MODIS[J].Journal of Catastrophology,2016,31(1):96-101.)
[5]张振全,黎昔春,郑颖.洞庭湖对洪水的调蓄作用及变化规律研究[J].泥沙研究,2014(2):68-74.(ZHANG Zhenquan,LI Xichun,ZHENG Ying.Research on flood storage function and change law of Dongting lake[J].Journal of Sediment Research,2014(2):68-74.)
[6] LEAUTHAUD C,DUVAIL S,BELAUD G,et al.Contribution of MODIS satellite imagery in modelling the flooding patterns of the coastal wetlands of the Tana River,Kenya[C]∥EGU General Assembly Conference Abstracts.[S.l.]:[s.n.],2012:10514.
[7] NASA[DS/OL].[2018-07-09].http:∥reverb.echo.nasa.gov/reverb/.
[8] USGS[DS/OL].[2018-07-09].http:∥earthexplorer.usgs.gov/.
[9] ICHOKU C,KARNIELI A.A review of mixture modeling techniques for sub-pixel land cover estimation[J].Remote Sensing Reviews,1996,13(3/4):161-186.
[10]PLAZA A,MARTN G,PLAZA J,et al.Recent developments in endmember extraction and spectral unmixing[M]∥PRASAD S,BRUCE L,CHANUSSOT J.Optical Remote Sensing:Augmented Vision and reality.Berlin:Springer,2011:235-267.
[11]SONG A,CHANG A,CHOI J,et al.Automatic extraction of optimal endmembers from airborne hyperspectral imagery using iterative error analysis(IEA)and spectral discrimination measurements[J].Sensors,2015,15(2):2593-2613.
[12]XIONG W,CHANG C I,WU C C,et al.Fast algorithms to implement N-FINDR for hyperspectral endmember extraction[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2011,4(3):545-564.
[13]张兵,孙旭.高光谱图像混合像元分解[M].北京:科学出版社,2015.(ZHANG Bing,SUN Xu.Hyperspectral image mixed pixel decomposition[M].Beijing:Science Press,2015.)
[14]凌峰,吴胜军,肖飞,等.遥感影像亚像元定位研究综述[J].中国图象图形学报,2011,16(8):1335-1345.(LING Feng,WU Shengjun,XIAO Fei,et al.Sub-pixel mapping of remotely sensed imagery:a review[J].Journal of Image and Graphics,2011,16(8):1335-1345.)
[15]王群明.遥感图像亚像元定位及相关技术研究[D].哈尔滨:哈尔滨工程大学,2012.(WANG Qunming.Research on sub-pixel mapping and its related techniques for remote sensing imagery[D].Harbin:Harbin Engineering University,2012.)
[16]MERTENS K C,DE BAETS B,VERBEKE L P C,et al.A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models[J].International Journal of Remote Sensing,2006,27(15):3293-3310.
[17]ROBIN A,HEGARAT-MASCLE S L,MOISAN L.Unsupervised subpixelic classification using coarse-resolution time series and structural information[J].IEEE Transactions on Geoscience&Remote Sensing,2008,46(5):1359-1374.
[18]LING Feng,XIAO Fei,DU Yun,et al.Waterline mapping at the subpixel scale from remote sensing imagery with high-resolution digital elevation models[J].International Journal of Remote Sensing,2008,29(6):1809-1815.
[19]GIRALDO-OSORIO J D,GARCA-GALIANO S G.Development of a sub-pixel analysis method applied to dynamic monitoring of floods[J].International Journal of Remote Sensing,2012,33(7):2277-2295.
[20]HUANG Chang,CHEN Yun,WU Jianping.DEMbased modification of pixel-swapping algorithm for enhancing floodplain inundation mapping[J].International Journal of Remote Sensing,2014,35(1):365-381.