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- 2017
利用Landsat TM影像进行地表温度像元分解
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Abstract:
提出了一种基于Landsat TM的地表温度二次像元分解方法，将地表温度的空间分辨率从120 m提高到30 m。首先，利用地表类型的线性统计模型（E-DisTrad）获取初次分解子像元的地表温度，计算得到初次分解子像元的辐亮度；然后，利用面向对象的图像分割方法获取二次分解子像元的权重，实现对地表温度的二次分解；最后，采用升尺度再分解的验证方法进行精度分析，并选取了北京市TM影像进行实例分析。实验结果表明，二次像元分解模型不仅能有效地提高地表温度的空间分辨率，反映出不同地表类型地表温度的空间差异性，而且保证了像元分解前后能量值的一致性，非常适合于复杂地表覆盖地区的热红外波段遥感影像数据的降尺度处理
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