改进的三层分解模型热红外影像空间降尺度研究
投稿时间:2018-10-21  修订日期:2018-11-08  点此下载全文
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作者单位E-mail
张文奇 中科院上海技术物理研究所 zhangwenqisdau@sina.com 
巩彩兰 中科院上海技术物理研究所 gcl@mail.sitp.ac.cn 
胡勇 中科院上海技术物理研究所  
宋文韬 中科院上海技术物理研究所  
匡定波 中科院上海技术物理研究所  
基金项目:国家重点研发计划(2017YFC0602103)
中文摘要:地表温度(Land surface temperature)是地-气相互作用和能量交换的重要参数之一。为了获取高空间分辨率地表温度数据,研究改进了一种热红外遥感数据降尺度方法,并以上海市Landsat 8OLI/TIRS影像为数据源进行了实验验证,归一化植被指数(Normalized Difference Vegetation Index,NDVI)被分解为低频层、边缘层和细节层,其中边缘层和细节层按比例增加到热红外数据中,并与经典的热红外降尺度方法DisTrad算法和TsHARP算法作为对比,将模拟的地表温度(Land surface temperature,LST)(270m)作为降尺度数据源实现LST降尺度(90m)。实验结果表明:1)三种降尺度方法都保留原有的地表温度的空间特征,但DisTrad算法和TsHARP算法增加了真实数据中并不存在的温度差异;2)改进的三层分解模型地表温度的均方根误差为0.9130k,与DisTrad方法和TsHARP算法相比精度分别提高了0.9373k和0.8320k。
中文关键词:空间降尺度  三层分解模型  热红外影像  地表温度
 
A Research on spatial downscaling of thermal infrared image based on improved three-layer decomposition model
Abstract:Land surface temperatur is one of thr important parameters of geogas interaction and energy exhange.In order to obtain high spatial resolution land surface temperature data. The research improved a method of downscaling thermal infrared remote image, and verified it with Shanghai Landsat 8OLI/TIRS image as the data source. The Normalized Difference Vegetation Index (NDVI) was decomposed into low frequency layer and edge layer and detail layers, in which the edge layer and the detail layer are scaled up to the thermal infrared data, and compared with the classical thermal infrared downscaling method DisTrad algorithm and TsHARP algorithm, the simulated surface temperature (LST) ( 270m) LST downscaling (90m) as a downscaled data source.The results show that: 1) All three downscaling methods preserve the spatial characteristics of the original land surface temperature, but the DisTrad algorithm and the TsHARP algorithm increase the detailed information that does not exist in original land surface temperature data.; 2)The improved three-layers decomposition model has a root mean square error of 0.9130k,which is 0.9373k and 0.8320k higher than the DisTrad method and the TsHARP method.
keywords:spatial downscaling  threelLayer decomposition  thermal infrared image  land surface temperature
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