An application of expert systems technology to remotely sensed image analysisIn October of 1983, a project was initiated at NASA/Ames Research Center to design a prototype expert system capable of producing a preliminary land cover classification from an unsupervised classification of Landsat Multispectral Scanner (MSS) imagery and associated collateral data. This paper outlines the problem of determining land cover classes from an unsupervised classification, presents a brief overview of expert systems, and continues with a description of the design and current state of implementation of NASA/Ames' prototype Landsat MSS image analysis expert system.
Document ID
19860035947
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Erickson, W. K. (NASA Ames Research Center Moffett Field, CA, United States)
Likens, W. C. (NASA Ames Research Center Moffett Field, CA, United States)