A comparison of contextual classification methods using Landsat TM
Abstract. The performance of contextual classification methods is evaluated using Landsat TM data. Classes of pixels adjacent to the pixel to be classified are assumed to be conditionally independent given the class of the pixel to be classified. An assumption of autocorrelated spectral reflectance is made in three of the methods. Methods that utilize information from one image and images from two different occasions are compared.Our results indicate that an autocorrelation method utilizing images from two different occasions performs optimally.
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