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基于图像的CBERS-CCD数据大气校正——以四川省紫坪铺库区为例

Image-based Atmospheric Correction Method for CBERS-CCD Data——A Case of Zipingpu Reservoir Area in Sichuan Province

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【作者】 周旭雷金蓉张泽洪

【Author】 ZHOU Xu1,LEI Jing-rong1,ZHANG Ze-hong2(1.School of Land and Resources,China West Normal University,Nanchong,Sichuan 637009,China; 2.Teaching Affairs Office of China West Normal University,Nanchong,Sichuan 637009,China)

【机构】 西华师范大学国土资源学院西华师范大学教务处

【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。

【Abstract】 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.

【基金】 四川省教育厅青年基金项目“基于遥感、GIS和生态模型的地震灾区土地利用优化研究”(09ZB086);西华师范大学教学改革与研究项目“依托省级示范中心,创新地理信息系统专业实验实践教学”(JGXM0937)
  • 【文献出处】 水土保持通报 ,Bulletin of Soil and Water Conservation , 编辑部邮箱 ,2012年02期
  • 【分类号】TP79;P407
  • 【被引频次】1
  • 【下载频次】103
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