Abstract
Initially, methods for analyzing earth observational data involved the use of only spectral variations measured from the scene. The work reported in this paper provides a method for making some use of spatial variations as well. The results of some preliminary tests of this new method show significant improvements in accuracy.
LARS Tech Report Number
102073
Date of this Version
January 1973
Recommended Citation
Gupta, J. N.; Kettig, R. L.; Landgrebe, D. A.; and Wintz, P. A., "Machine Boundary Finding and Sample Classification of Remotely Sensed Agricultural Data" (1973). LARS Technical Reports. Paper 119.
https://docs.lib.purdue.edu/larstech/119
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