Multisource Data Analysis in Remote Sensing and Geographic Information Processing
P. H. Swain, John A. Richards, Tong Lee · Purdue e-Pubs (Purdue University System) · 1985
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.