%0 Journal Article
%T Kernel-driven model fitting of multi-angle thermal infrared brightness temperature and its application<br>多角度热红外亮温值的模型拟合与应用
%A PENG Jing-Jing
%A LIU Qiang
%A LIU Qin-Huo
%A LI Jia-Hong
%A MA Hong-Zhang
%A FANG Li
%A <br>彭菁菁
%A 刘强
%A 柳钦火
%A 李加洪
%A 马红章
%A 方莉
%J 红外与毫米波学报
%D 2011
%I Science Press
%X This paper has proved the data fitting and extrapolating ability of the kernel-driven model in TIR band by simulation of the multi-angle thermal infrared images of Linze grassland acquired in WATER campaign with the model. Additionally, the most suitable kernel-driven model available for multi-angle thermal imagery has been identified. In the feature space of land surface temperature (LST) and a combination of model coefficients which describes the actual surface directional radiative characteristics, a multi-angle thermal infrared dryness index (MTDI) is constructed and extracted out. The correlation coefficient of simulated MTDI and corresponding Temperature-Vegetation Dryness Index (TVDI) is greater than 0.87. It can be inferred that the kernel driven model is also effective in the analysis of directional radiative information in thermal infrared band.
%K multi-angular
%K thermal infrared
%K kernel-driven model
%K soil moisture
%K WiDAS (07
%K 07
%K Df)<br>多角度遥感
%K 热红外遥感
%K 核驱动模型
%K 土壤水分
%K WiDAS
%K (07.07.Df)
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=F1433D9E74E9C1DF3EA8FCB68A26F94E&yid=9377ED8094509821&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=3E3EF0DB5E6F2DA9&eid=683005D16807E4FE&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=0