LARS Tech Report Number
A general approach is presented for the computer analysis, using quantitative multivariate methods, of remote sensing data combined with other sources of data in geographic information systems. A method is proposed by which inferences can be drawn systematically from multiple observations having significant but unknown interactions. A simple classification experiment with Landsat MSS data is undertaken to illustrate the use of this method.
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