地震前后遥感影像空间尺度特性与最优空间尺度选择
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摘要
本文基于不同计算窗口大小的改进局部方差方法,判定地震后遥感影像上的目标物,如损毁建筑物、完好建筑物的最佳空间尺度。对航片、QuickBird影像进行了系列实验分析,得到了在QuickBird影像中城区完好建筑物最佳空间分辨率在2～3m,损毁建筑物最佳空间分辨率2～4m,航片中城区完好建筑物最佳空间分辨率为3～4m。最佳空间分辨率与目标地物的尺度紧密相关,不同尺度大小的地物具有不同的最优空间尺度。最佳空间尺度的选择在处理海量高空间分辨率影像时通过重采样选取最佳空间分辨率,可以有效减少图像运算时间,在地震灾害快速评估中具有一定的应用意义。
Using the modified local variance method based on different sizes of calculation window,we determine objects after earthquake such as damaged building,intact buildings.By conducting a series of experimental analysis on the aerial and Quickbird image,we obtain that on the Quickbird image the optimal spatial resolution of intact urban buildings is about 2~3 m and the damage buildings is 2~4 m,on the aerial image the optimal spatial resolution of intact urban buildings is about 3~4 m.The optimal spatial resolution is closely related to the size of the object on the ground.And objects of different sizes have different optimal spatial scale.While processing a large amount of images with high spatial resolution,we choose the optimal spatial scale through resampling.This method can effectively reduce the calculational time on the image and is theoretically meaningful for the application of remote sensing technology to fast assessment of earthquake disaster.
Using the modified local variance method based on different sizes of calculation window,we determine objects after earthquake such as damaged building,intact buildings.By conducting a series of experimental analysis on the aerial and Quickbird image,we obtain that on the Quickbird image the optimal spatial resolution of intact urban buildings is about 2~3 m and the damage buildings is 2~4 m,on the aerial image the optimal spatial resolution of intact urban buildings is about 3~4 m.The optimal spatial resolution is closely related to the size of the object on the ground.And objects of different sizes have different optimal spatial scale.While processing a large amount of images with high spatial resolution,we choose the optimal spatial scale through resampling.This method can effectively reduce the calculational time on the image and is theoretically meaningful for the application of remote sensing technology to fast assessment of earthquake disaster.
引文
[1]李德仁.论21世纪遥感与GIS的发展[J].武汉大学学报(信息科学版),2003,28(2):127-131.
[2]范一大,杨思全,王磊,等.汶川地震应急监测评估方法研究[J].遥感学报,2008,12(6):858-864.
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[10]明冬萍,王群,杨建宇.遥感影像空间尺度特性与最佳空间分辨率选择[J].遥感学报,2008,12(4):529-537.
[11]韩鹏,龚健雅,李志林.基于信息熵的遥感分类最优空间尺度选择方法[J].武汉大学学报(信息科学版),2008,33(7):676-679.
[12]陈杰,邓敏,肖鹏峰,等.纹理频谱分析的高分辨率遥感影像最佳尺度选择[J].遥感学报,2011,15(3):502-511.
[13]Cao C,Lam N SN.Understanding the scale and resolution effects in remote sensing and GIS[M].In:Scale in Remote Sensing and GIS,Quattrochi,D A and M F Goodchild(eds.)1997.57-72.
[14]Markham B L,Townshend J R G.Land cover classification accuracy as a function of sensor spatialresolution[M].The 15th International Symposium of Remote Sensing of Environment.15th,AnnArbor,MI;United States;11-15May 1981,1075-1090.
[15]Curran P J.The Semi-Variogram in Remote Sensing:An Introduction[J].Remote sensing of Envi-ronment,1988,24:493-507.
[16]黄慧萍.面向对象影像分析中的尺度问题研究[D].北京:中国科学院研究生院,2003.
[2]范一大,杨思全,王磊,等.汶川地震应急监测评估方法研究[J].遥感学报,2008,12(6):858-864.
[3]周成虎,骆剑承.高分辨率卫星遥感影像地学计算[M].北京:科学出版社,2009.
[4]柏延臣,王劲峰.基于特征统计可分性的遥感数据专题分类尺度效应分析[J].遥感技术与应用,2004,19(6):443-449.
[5]Woodcock C E,Strahler A H.The factor of scale in remote sensing[J].Remote Sensing of Environ-ment,1987,21:311-332.
[6]Woodcock C E,Strahler A H,Jupp D L B.The use of variograms in remote sensing I:Scene modelsand simulated images[J].Remote Sensing of Environment,1988,25:323-348.
[7]Woodcock C E,Strahler A H,Jupp D L B.The use of variograms in remote sensing II:Real digitalimages[J].Remote Sensing of Environment,1988,25:349-379.
[8]Atkinson P M.Selecting the spatial resolution of airborne MSS imagery[J].International Journal ofRemote Sensing,1991,18(9):1903-1917.
[9]Bo Y C,Wang J F,Li X.Exploring the scale effect in land cover mapping from remotely sensed da-ta:the statistical separability-based method[M].IGARSS,2005.
[10]明冬萍,王群,杨建宇.遥感影像空间尺度特性与最佳空间分辨率选择[J].遥感学报,2008,12(4):529-537.
[11]韩鹏,龚健雅,李志林.基于信息熵的遥感分类最优空间尺度选择方法[J].武汉大学学报(信息科学版),2008,33(7):676-679.
[12]陈杰,邓敏,肖鹏峰,等.纹理频谱分析的高分辨率遥感影像最佳尺度选择[J].遥感学报,2011,15(3):502-511.
[13]Cao C,Lam N SN.Understanding the scale and resolution effects in remote sensing and GIS[M].In:Scale in Remote Sensing and GIS,Quattrochi,D A and M F Goodchild(eds.)1997.57-72.
[14]Markham B L,Townshend J R G.Land cover classification accuracy as a function of sensor spatialresolution[M].The 15th International Symposium of Remote Sensing of Environment.15th,AnnArbor,MI;United States;11-15May 1981,1075-1090.
[15]Curran P J.The Semi-Variogram in Remote Sensing:An Introduction[J].Remote sensing of Envi-ronment,1988,24:493-507.
[16]黄慧萍.面向对象影像分析中的尺度问题研究[D].北京:中国科学院研究生院,2003.
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