Abstract
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.
LARS Tech Report Number
062685
Date of this Version
January 1985
Recommended Citation
Swain, Philip H.; Richards, John A.; and Lee, Tong, "Multisource Data Analysis in Remote Sensing and Geographic Information Processing" (1985). LARS Technical Reports. Paper 78.
https://docs.lib.purdue.edu/larstech/78
COinS