考虑植被覆盖因子的地形辐射校正模型  

A model of topographic radiance correction in view of fractional vegetation cover

作　　者：高荣俊 谢勇[1,3] 顾行发[1,3] 韩杰[1,2,3] 孙源[1,3] 刘景旺[4] 

机构地区：[1]中国科学院遥感与数字地球研究所,北京100101 [2]中国科学院大学研究生院,北京100049 [3]国家航天局航天遥感论证中心,北京100101 [4]北华航天工业学院科学技术处,河北廊坊065000

出　　处：《测绘科学》2016年第4期132-138,共7页Science of Surveying and Mapping

基　　金：民用航天十二五预研项目D040201(Y1K00200KJ);国家自然科学基金青年基金项目(41101402);河北省教育厅重点项目(ZD2014089)

摘　　要：针对传统的地形辐射校正模型无法适用复杂地表覆盖类型而导致的校正精度较低的问题,该文提出了一种考虑像元植被覆盖因子的模型。山区遥感影像像元大部分为植被与岩石、裸土的混合像元,针对混合像元中岩石、裸土部分应用太阳-地表-传感器模型,而对于植被覆盖区则采用考虑植被垂直生长特性的太阳-树冠-传感器模型,两模型用像元植被覆盖因子拟合为新的太阳-植被覆盖因子-传感器模型。利用覆盖江西实验区的Landsat-8陆地成像仪影像和数字高程模型数据进行了校正比对分析,结果表明该方法可有效地消除地形起伏对辐射亮度的影响。According to the fact that the traditional terrain radiance correction model could have got low precision due to the complex surface cover type, this paper presented a method considering the frac- tional vegetation cover. Generally speakin , most pixels in remote sensing image were mixed with vegeta- tion, bare soil, and rock. Theoretically, sun-terrain-sensor （STS）model was used for the proportion of mixed with bare soil and rock while sun-canopy-sensor（SCS）model was applied to vegetation propor- tion. Based on this, the sun-fraction-sensor（SFS）method of terrain radiance correction in mountain areas was proposed with integrating STS and SCS model. The authors performed the analysis of Landsat-8 opera- tional land imager （OLD images in Jiangxi test region with the digital elevation model（DEM）assisted. The comparison results showed that the SFS model had the remarkable capability to correct the influence of terrain.

关 键 词：辐射校正 混合像元 植被覆盖因子 数字高程模型 

分 类 号：P23[天文地球—摄影测量与遥感]