水土保持通报2012，Vol.32Issue(2)：154-158,5.
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
摘要
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.关键词
CBERS—CCD数据/大气校正/暗目标减法/多次迭代法/紫坪铺库区Key words
CBERS-CCD data/atmospheric correction/dark object subtract method/multiple-iterative method/Zipingpu Reservoir area分类
信息技术与安全科学引用本文复制引用
周旭,雷金蓉,张泽洪..基于图像的CBERS-CCD数据大气校正——以四川省紫坪铺库区为例[J].水土保持通报,2012,32(2):154-158,5.基金项目
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” （）
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” （）
