Matthew C. Ulm

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Classifying land cover via satellite imagery is an important problem in geographical studies. This paper presents a maximum a posteriori (MAP) land-cover classifier for multiband satellite data. The method uses the Markov random field model. The MAP estimation is carried out via iterated conditional modes. The reflectivities are transformed via principal(More)
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