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伪恒定物体(PIF)方法在遥感影像辐射匹配中的应用
引用本文:朱云燕,贺彬,赵碧云.伪恒定物体(PIF)方法在遥感影像辐射匹配中的应用[J].云南环境科学,2002,21(2):12-14.
作者姓名:朱云燕  贺彬  赵碧云
作者单位:云南省环境科学研究所 云南昆明650034 (朱云燕,贺彬),云南省环境科学研究所 云南昆明650034(赵碧云)
摘    要:伪恒定物体(PIF)方法基于影像上人造物体像元反射率的统计不变量,假定影像间同一人造物体像元的亮度值呈线性函数关系,通过数理统计方法,校正多时相、多波段影像之间的大气、光照和传感器参数差异,达成影像之间的辐射匹配。在滇池蓝藻遥感动态监测中主要运用了此方法。

关 键 词:伪恒定物体  PIF  遥感影像  辐射匹配  滇池  环境监测
文章编号:1006-947X(2002)02-0012-03
修稿时间:2001年10月8日

Application of Radiometric Scene Normalization Using Pseudoinvariant Features
ZHU Yun-yan,HE Bin,ZHAO Bi-yun.Application of Radiometric Scene Normalization Using Pseudoinvariant Features[J].Yunnan Environmental Science,2002,21(2):12-14.
Authors:ZHU Yun-yan  HE Bin  ZHAO Bi-yun
Abstract:The technique of pseudoinvariant features corrects for atmospheric degradation,illumination effects,and sensor response differences in multitemporal multispectral images.The technique is based on the statistical invariance of the reflectance of man-made in-scene elements such as roads,rooftops and parking lots which covered with concrete or asphalt.Differences in the gray-level distributions of these invariant objects is assumed to be a linear function and is corrected statisically to perform the normalization.The technique has been used in the monitoring of Dianchi Lake.
Keywords:PIF  remote sensing image  radiometric scene normalization  Dianchi  
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