tailieunhanh - Data Mining and Knowledge Discovery in Real Life Applications
MTMF MTMF combines the best parts of the Linear Spectral Mixing model and the statistical Matched Filter model while avoiding the drawbacks of each parent method (Boardman, 1998). It is a useful Matched Filter method without knowing all the possible endmembers in a landscape especially in case of subtle, sub-pixel occurrences. Firstly, pixel spectra and endmember spectra require a minimum noise fraction (MNF) (Green et al., 1988, Boardman, 1993) transformation. MNF reduces and separates an image into its most dimensional and non-noisy components. Once the data is in a less noisy form, it can then be compared to endmember through MTMF processes to determine composition. Its results. | Data Mining and Knowledge Discovery IN Real Life Applications Data Mining AND KNOWLEDGE Discovery in Real Life Applications Edited By Julio PũNCE and Adem Karahoca .
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