A neighbourhood-based classifier for landsat data |
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Authors: | Art Owen |
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Institution: | Department of Statistics Stanford University Stanford, California 94305 |
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Abstract: | A classifier is developed which uses information from all pixels in a neighbourhood to classify the pixel at the center of the neighbourhood. It is not a smoother in that it tries to recognize boundaries. and it makes explieite use of the relative positions of pixels in the neighbourhood. It is based on a geometric probability model for the distribution of the classes in the plane. The neighbourhood-based classifier is shown to outperform linear discriminant analysis on some LANDSAT data. |
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Keywords: | Remote sensing image analysis landsat discriminant analysis classification |
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