基于分形的城市地面亮温与植被研究
Research on Fractal-based Urban Land Surface Temperatures and Vegetation
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摘要: 利用主成分像元分解分析法提取植被信息,计算了城市地面亮温、NDVI、主成分像元分解分析3幅图像的样带分形维数,分析了3幅图像及其样带分形维数的特征,探讨了地面亮温与植被的关系。实例结果表明,当地表覆盖多为同质时,地面亮温分形维数较低,主成分像元分解分析法比NDVI能更有效地提取植被信息,更适合用于地面亮温的研究。Abstract: Transects fractal dimensions of urban land surface temperatures image,NDVI image and principal component pixels decomposition analysis image are computed in this paper.The features of three images and their transects fractal dimensions,land surface temperatures relation with vegetation are analyzed.The study shows that the more homogeneous land covered,the lower land surface temperatures fractal dimensions and according to vegetation derived,principal component pixels decomposition analysis model is more effective than NDVI.
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