张立福, 张良培, 村松加奈子, 藤原昇. 基于高光谱卫星遥感数据的UPDM分析方法[J]. 武汉大学学报 ( 信息科学版), 2005, 30(3): 264-268.
引用本文: 张立福, 张良培, 村松加奈子, 藤原昇. 基于高光谱卫星遥感数据的UPDM分析方法[J]. 武汉大学学报 ( 信息科学版), 2005, 30(3): 264-268.
ZHANG Lifu, ZHANG Liangpei, MURAMATSU Kanako, FUJIWARA Noboru. Universal Pattern Decomposition Method Based on Hyper Spectral Satellite Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2005, 30(3): 264-268.
Citation: ZHANG Lifu, ZHANG Liangpei, MURAMATSU Kanako, FUJIWARA Noboru. Universal Pattern Decomposition Method Based on Hyper Spectral Satellite Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2005, 30(3): 264-268.

基于高光谱卫星遥感数据的UPDM分析方法

Universal Pattern Decomposition Method Based on Hyper Spectral Satellite Remote Sensing Data

  • 摘要: 提出了一种用于处理多/高光谱卫星数据的UPDM分析方法。研究结果证明,该方法应用于Land sat/TM(ETM+)、Terra/MODIS和ADEOS II/GLI等高光谱卫星传感器时,光谱重构均方根误差小于0.029,适用于研究高光谱卫星遥感数据。

     

    Abstract: This paper develops a new analysis method based on the hyper-multi spectral satellite data, which is the universal pattern decomposition method (UPDM). The results demonstrate that the mean square root values of reconstruct fitting errors are less than 0.029 when using it on Landsat/TM(ETM+),Terra/MODIS and ADEOS-II/GLI satellite sensors. The UPDM is especially suitable for hyper spectral satellite remote sensing data.

     

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