基于图像的CBERS-CCD数据大气校正——以四川省紫坪铺库区为例
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摘要
作为国产卫星遥感数据,CBERS—CCD的定量化研究和应用已受到我国学者高度重视,将其与汶川地震灾区恢复重建工作相结合更具实践价值。以四川省紫坪铺库区为例,建立了简化的大气校正模型,并采用改进的基于图像估计参数的方法,快速完成CBERS02B—CCD数据大气校正。结果证实,该模型方法能够消除大气影响,增强图像信息,并能满足一般遥感定量研究与应用的需要,具有较强的实用性和可推广性。
As the remote sensing data collected with Chinese satellite,CBERS—CCD data and its quantitative research and application attracted heavy attentions from many scholars,especially for the restoration and reconstruction of the areas experienced the Wenchuan earthquake disaster.This research chose Sichuan Zipingpu Reservoir area as the study site,and built a new straightforward model,which used an image-based improving method and the general multiple-iterative method to estimate the required parameters,such as atmospheric path radiance,up and down transmittance,and total optical depth,etc.A few detailed comparisons were also conducted in terms of visual quality,statistical characteristics and NDVI changes of the images before and after atmospheric correction.With this developed model,the atmospheric effects of CBERS—CCD data could be eliminated and the image information also has been enhanced.A conclusion can be drawn that this image-based atmospheric correction model is highly applicable and economically effective.
As the remote sensing data collected with Chinese satellite,CBERS—CCD data and its quantitative research and application attracted heavy attentions from many scholars,especially for the restoration and reconstruction of the areas experienced the Wenchuan earthquake disaster.This research chose Sichuan Zipingpu Reservoir area as the study site,and built a new straightforward model,which used an image-based improving method and the general multiple-iterative method to estimate the required parameters,such as atmospheric path radiance,up and down transmittance,and total optical depth,etc.A few detailed comparisons were also conducted in terms of visual quality,statistical characteristics and NDVI changes of the images before and after atmospheric correction.With this developed model,the atmospheric effects of CBERS—CCD data could be eliminated and the image information also has been enhanced.A conclusion can be drawn that this image-based atmospheric correction model is highly applicable and economically effective.
引文
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[6]朱长明,杨辽,陈生,等,基于ATCOR2模型的CBERS-02数据大气校正[J].遥感技术与应用,2008,23(5):565-570.
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[9]WANG Zhongting,CHEN Liangfu,GONG Hui,et al.Modified DDV method of aerosol optical inversion over landsurfaces from CBERS02B[J].Journal of Remote Sensing,2009,13(6):1047-1052.
[10]Chavez P S.Radiometric calibration of Landsat ThematicMapper multispectral images[J].Photogrammetric Engi-neering and Remote Sensing,1989,55(9):1025-1036.
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[13]齐志新,邓孺孺.多暗像元大气校正方法[J].国土资源遥感,2007(2):16-19.
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[15]Tanre D,Holben B N,Kaufman Y J.Atmospheric correc-tion algorithm for NOAA-AVHRR products,theory andapplication[J].IEEE Trans.Geoscience and RemoteSensing,1992,30(2):231-248.
[16]d'Almeida G A,Koephe P,Shettle E P.AtmosphericAerosols:Global Climatology and Radiative Characteris-tics[M].Hampton:A Deepak Pub.,1991.
[17]杨忠东,谷松岩,邱红,等.中巴地球资源一号卫星CCD图像质量评价和交叉定标研究[J].遥感学报,2004,8(2):113-120.
[18]彭光雄,何宇华,李京,等,中巴地球资源02星CCD图像交叉定标与大气校正研究[J].红外与毫米波学报,2007,26(1):22-25.
[19]赵巧华,何金海.基于资源卫星图像对NDVI进行大气修正的一种简单方法[J].南京气象学院学报,2003,26(2):236-242.
[20]程伟,王黎明,田庆久.一种基于阴影像元的光学遥感大气校正方法[J].测绘学报,2008,37(4):469-475.
[2]Chavez P S.Image-based atmospheric correction-revisitedand improved[J].Photogrammetric Engineering and Re-mote Sensing,1996,62(9):1025-1036.
[3]LI Junsheng,ZHANG Bing,CHEN Zhengchao,et al,At-mospheric correction of CBERS—CCD images with MODISdata[J].Science in China(E):Technological Sciences,2006,49(S):149-158.
[4]易维宁,何超兰,乔延利,等,CBERS-02卫星CCD图像的大气订正[J].遥感学报,2006,10(5):703-708.
[5]王中挺,陈良富,顾行发,等,CBERS-02卫星数据大气校正的快速算法[J].遥感学报,2006,10(5):709-714.
[6]朱长明,杨辽,陈生,等,基于ATCOR2模型的CBERS-02数据大气校正[J].遥感技术与应用,2008,23(5):565-570.
[7]Ahern F J,Goodenough D C,Jain S C,et al.Use of clearlakes as standard reflectors for atmospheric measurements[R].Ann Arbor,M I:Proceeding of the 11th InternationalSymposium on Remote Sensing of Environment,1977:731-775.
[8]田庆久,郑兰芬,童庆禧.基于遥感影像的大气辐射校正和反射率反演方法[J].应用气象学报,1998,9(4):456-461.
[9]WANG Zhongting,CHEN Liangfu,GONG Hui,et al.Modified DDV method of aerosol optical inversion over landsurfaces from CBERS02B[J].Journal of Remote Sensing,2009,13(6):1047-1052.
[10]Chavez P S.Radiometric calibration of Landsat ThematicMapper multispectral images[J].Photogrammetric Engi-neering and Remote Sensing,1989,55(9):1025-1036.
[11]Kaufman Y J,Tanre D.Atmospheric resistant vegetationindex for EOS-MODIS[J].IEEE Transaction on Geosci-ence and Remote Sensing,1992,30(2):261-270.
[12]刘小平,邓孺孺,彭晓娟.基于TM影像的快速大气校正方法[J].地理科学,2005,25(1):87-93.
[13]齐志新,邓孺孺.多暗像元大气校正方法[J].国土资源遥感,2007(2):16-19.
[14]Van Stokkom H T C,Guzzi R.Atmospheric spectral at-tenuation of airborne remote sensing data:Comparison be-tween experimental approach[J].International Journal ofRemote Sensing,1984,5:231-248.
[15]Tanre D,Holben B N,Kaufman Y J.Atmospheric correc-tion algorithm for NOAA-AVHRR products,theory andapplication[J].IEEE Trans.Geoscience and RemoteSensing,1992,30(2):231-248.
[16]d'Almeida G A,Koephe P,Shettle E P.AtmosphericAerosols:Global Climatology and Radiative Characteris-tics[M].Hampton:A Deepak Pub.,1991.
[17]杨忠东,谷松岩,邱红,等.中巴地球资源一号卫星CCD图像质量评价和交叉定标研究[J].遥感学报,2004,8(2):113-120.
[18]彭光雄,何宇华,李京,等,中巴地球资源02星CCD图像交叉定标与大气校正研究[J].红外与毫米波学报,2007,26(1):22-25.
[19]赵巧华,何金海.基于资源卫星图像对NDVI进行大气修正的一种简单方法[J].南京气象学院学报,2003,26(2):236-242.
[20]程伟,王黎明,田庆久.一种基于阴影像元的光学遥感大气校正方法[J].测绘学报,2008,37(4):469-475.
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