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。
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.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2006年第2期116-119,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40171032)
福建省教育厅资助项目(GA00186)
关键词
分形
主成分像元分解
地面亮温
fractal
principal component pixels decomposition
land surface temperatures
