首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Modeling Directional Brightness Temperature Over Mixed Scenes of Continuous Crop and Road: A Case Study of the Heihe River Basin
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Modeling Directional Brightness Temperature Over Mixed Scenes of Continuous Crop and Road: A Case Study of the Heihe River Basin

机译:连作与道路混合场景定向亮度温度的模拟-以黑河流域为例。

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A new geometric optical model is proposed in this letter to simulate the directional brightness temperature (DBT) distribution over mixed scenes of continuous crop and road. The DBT distributions of the crop and road zones are separately calculated, and the road zone consists of a road and adjacent crop sides. A road distribution polar map is designed to show all of the roads of different lengths, widths, and orientations in the scene. The airborne multiangle data set of the thermal infrared band that was acquired during the Heihe Watershed Allied Telemetry Experimental Research experiment is used for validation. The results demonstrate that the proposed model can simulate the DBT of a heterogeneous scene $(90times 90 hbox{m}^{2})$ with a root-mean-square error equal to 1.1 K and good trend similarity.
机译:本文提出了一种新的几何光学模型,以模拟连续作物和道路混合场景中的定向亮度温度(DBT)分布。分别计算作物和道路区域的DBT分布,道路区域由道路和相邻的作物侧面组成。道路分布极坐标图旨在显示场景中长度,宽度和方向不同的所有道路。在黑河流域联合遥测实验研究实验中获得的热红外波段的机载多角度数据集用于验证。结果表明,该模型可以模拟异构场景的DBT $(90×90 hbox {m} ^ {2})$ 的均方根误差等于1.1 K,并且趋势相似性很好。

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