2020
DOI: 10.1016/j.infrared.2020.103233
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From multi-sensor aerial data to thermal and infrared simulation of semantic 3D models: Towards identification of urban heat islands

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Cited by 18 publications
(30 citation statements)
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“…Figures 10 and 11 show that the viewing zenith angle has a small influence on the accuracy of Moon-based thermal infrared simulation results, and the error between simulation results and FY-2E data is slightly higher than that of FY-2F data. In all, the absolute error of Moon-based thermal infrared simulations is between 1.3 and 5.7 K, and the RMSE is between 1.38 and 3.12 K. Since the simulated brightness temperature is 267.69 -293.52 K, and the relative error is between 0.44% -2.12%, the thermal infrared simulation results and method for Moon-based Earth observation platform are reliable [52], and the thermal infrared imaging model of Moon-based Earth observation platform developed in this study can more realistically simulate the real situation of Earth surface, indicating that it is feasible for the Moon-based Earth observation platform to observe Earth in the thermal infrared band.…”
Section: Validation Of Simulation Methods Based On Fy-2 Datamentioning
confidence: 84%
“…Figures 10 and 11 show that the viewing zenith angle has a small influence on the accuracy of Moon-based thermal infrared simulation results, and the error between simulation results and FY-2E data is slightly higher than that of FY-2F data. In all, the absolute error of Moon-based thermal infrared simulations is between 1.3 and 5.7 K, and the RMSE is between 1.38 and 3.12 K. Since the simulated brightness temperature is 267.69 -293.52 K, and the relative error is between 0.44% -2.12%, the thermal infrared simulation results and method for Moon-based Earth observation platform are reliable [52], and the thermal infrared imaging model of Moon-based Earth observation platform developed in this study can more realistically simulate the real situation of Earth surface, indicating that it is feasible for the Moon-based Earth observation platform to observe Earth in the thermal infrared band.…”
Section: Validation Of Simulation Methods Based On Fy-2 Datamentioning
confidence: 84%
“…Several subsequent preprocessing steps had to be performed in order to apply our proposed simulation-based anomaly detection technique. The scene reconstruction and subsequent thermal simulation follow (Kottler et al, 2019) and (Bulatov et al, 2020). For the latter, actual environmental conditions as well as the temperature distribution at the beginning are required.…”
Section: Preprocessingmentioning
confidence: 99%
“…The selected classes are street, grass, soil, water, building with tile roofing, building with metal roofing, tree and forest boxes. While single trees with geo-specific 3D models (Bulatov et al, 2020) allow for a more precise simulation, forest boxes are derived from larger regions on the landcover map that have been assigned to the tree class. This allows to reduce the amount of polygons needed for representation and thus keeping low the overall simulation complexity.…”
Section: Preprocessingmentioning
confidence: 99%
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