Rapid maximum likelihood classification

作者: Paulv Bolstad , TM Lillesand , None

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摘要: We describe an improved table look-up technique for performing rapid maximum likelihood classification on large images. The method provided a more than 20-fold reduction in time relative to standard algorithms three-band of full Landsat Thematic Mapper (TM) scene. While powerful, the algorithm is also simple, portable, and can run limited memory desktop computer environments. described significantly improves practicality area land-cover classifications, such as those required statewide regional analyses

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