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A neighbourhood‐based classifier for landsat data
Author(s) -
Owen Art
Publication year - 1984
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3314747
Subject(s) - pixel , neighbourhood (mathematics) , classifier (uml) , artificial intelligence , pattern recognition (psychology) , computer science , discriminant , linear discriminant analysis , mathematics , geography , mathematical analysis
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.