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.
shu

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

    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.
    • FullText(HTML)
  • loading
    • References (0)
    • Relative Articles
  • Supplements (0)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return