基于亚像元分析技术的洞庭湖区洪水淹没提取
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摘要
遥感成像技术具有成本低、效率高、时效性好等特点,被广泛应用于洪涝灾害监测工作。但受空间分辨率的限制,遥感影像中普遍存在混合像元现象。传统的硬分类方法无法精细化的提取地物信息。本文利用MOD09A1数据,将亚像元分析技术应用于洞庭湖区洪水淹没范围提取,提取结果与MNDWI阈值法进行了比较。实验结果表明亚像元分析技术,总体精度高达88.27%,Kappa系数达到0.67,优于MNDWI阈值法,能够实现洪水的精细化提取。
Remote sensing imaging technology is widely used in flood monitoring because of its low cost,high efficiency and good timeliness.However,due to the limitation of spatial resolution,mixed pixel phenomena are common in remote sensing images.The traditional hard classification method cannot extract terrain information finely.In this paper,using MOD09 A1 surface reflectance data,the sub-pixel analysis technique is applied to extract the flood submerged area of Dongting Lake.The experimental results show that the overall accuracy of sub-pixel analysis technology is 88.27%,and the Kappa coefficient is 0.67.It is better than MNDWI threshold method and can realize the fine extraction of flood.
Remote sensing imaging technology is widely used in flood monitoring because of its low cost,high efficiency and good timeliness.However,due to the limitation of spatial resolution,mixed pixel phenomena are common in remote sensing images.The traditional hard classification method cannot extract terrain information finely.In this paper,using MOD09 A1 surface reflectance data,the sub-pixel analysis technique is applied to extract the flood submerged area of Dongting Lake.The experimental results show that the overall accuracy of sub-pixel analysis technology is 88.27%,and the Kappa coefficient is 0.67.It is better than MNDWI threshold method and can realize the fine extraction of flood.
引文
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[2]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.
[3]吴赛,张秋文.基于MODIS遥感数据的水体提取方法及模型研究[J].计算机与数字工程,2005(7):1-4.
[4]聂欣然,刘荣,杜神斌.一种经验型归一化差异水体指数模型[J].北京测绘,2017(5):41-45.
[5]黄昌.基于遥感和GIS的河漫滩洪水淹没分析与建模方法研究[D].上海:华东师范大学,2014.
[6]张浩彬,李俊生,向南平,等.基于MODIS地表反射率数据的洪水自动提取研究[J].遥感技术与应用,2015,30(6):1160-1167.
[7]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]∥Geophysical Resaerch Abstracts Egu General Assembly Conference,2012.
[8]凌峰,吴胜军,肖飞,等.遥感影像亚像元制图研究综述[J].中国图象图形学报,2011,16(8):1335-1345.
[9]陈子玄,武文波.基于线性混合模型的端元提取方法综述[J].测绘科学,2008,33(S1):49-51.
[10]BIOUCAS-D J M,PLAZA A,DOBIGEON N,et al.Hyperspectral Unmixing Overview:Geometrical,Statistical,and Sparse Regression-Based Approaches[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2012,5(2):354-379.
[11]张兵,孙旭.高光谱图像混合像元分解[M].北京:科学出版社,2015.
[12]王群明.遥感图像亚像元制图及相关技术研究[D].黑龙江哈尔滨:哈尔滨工程大学,2012.
[13]虞舟鲁,王文超,戎奕,等.基于子像元交换算法和地形数据的土地覆盖亚像元制图研究[J].国土资源遥感,2017,29(4):88-97.
[14]LU L,HUANG Y,DI L,et al.A New Spatial Attraction Model for Improving Sub-pixel Land Cover Classification[J].Remote Sensing,2017,9(4):360.
[15]梁星,陈蕾.基于ArcEngine的洪水淹没分析与实现[J].北京测绘,2017(2):72-75.