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首页> 外文期刊>International journal of applied earth observation and geoinformation >Study of high temperature targets identification and temperature retrieval experimental model in SWIR remote sensing based Landsat8
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Study of high temperature targets identification and temperature retrieval experimental model in SWIR remote sensing based Landsat8

机译：基于Landsat8的SWIR遥感高温目标识别与温度反演实验模型研究

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摘要

For surface features in short-wave infrared (SWIR, 1.3-3.0 mu m) in remote sensing imagery, pixel values depict the total energy including reflection and emission. For surface features at normal temperature in SWIR band, emission energy can be ignored. While for surface features at high temperature in SWIR band, emission energy is equal to or even higher than the reflection energy. So remote sensing imagery of SWIR band can be used to separate emission and reflection energy as well as to realize temperature retrieval of high temperature targets. In this study, the seventh band (SWIR band) of Landsat8 OLI remote sensing imagery is used to perform the theoretical model research for temperature retrieval of high temperature targets. In the meantime, it is also used with the corresponding observation experiment of synchronization satellite to check the theoretical model. The result shows that the radiant flux density for mixed pixels with high temperature targets is higher than adjacent pixels without high temperature targets. Thus, the high temperature pixels can be identified in SWIR band. The retrieval results of temperature and fractional area for high temperature targets are consistent with reality. In the study, the result illustrates that it is effective to identify high temperature targets in remote sensing imagery of SWIR band and the model is appropriate for temperature retrieval use. (C) 2015 Elsevier B.V. All rights reserved.
机译：对于遥感影像中短波红外（SWIR，1.3-3.0微米）的表面特征，像素值描述了包括反射和发射在内的总能量。对于SWIR波段中常温下的表面特征，可以忽略发射能量。对于SWIR波段中高温下的表面特征，发射能量等于或什至高于反射能量。因此，SWIR波段的遥感图像可用于分离发射和反射能量，并实现高温目标的温度检索。在这项研究中，Landsat8 OLI遥感影像的第七个波段（SWIR波段）用于进行高温目标温度检索的理论模型研究。同时，它也与同步卫星的相应观测实验一起用于理论模型的验证。结果表明，具有高温目标的混合像素的辐射通量密度高于没有高温目标的相邻像素。因此，可以在SWIR频带中识别高温像素。高温目标的温度和分数面积的反演结果与实际相符。在研究中，结果表明在SWIR波段的遥感影像中识别高温目标是有效的，并且该模型适用于温度检索。 （C）2015 Elsevier B.V.保留所有权利。

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