Progress in knowledge engineering for image interpretation and classification

N. J. Mulder; H. Middelkoop; J. W. Miltenburg

doi:10.1016/0924-2716(91)90033-R

Progress in knowledge engineering for image interpretation and classification

N. J. Mulder^*, H. Middelkoop, J. W. Miltenburg

^*Corresponding author for this work

International Institute for Geo-Information Science and Earth Observation - ITC

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Knowledge engineering techniques in the field of expert systems have common grounds with pattern recognition and can be applied for image interpretation and classification. The effects of the degeneration of the method of statistical pattern recognition into a rule base are studied in a case study on soil classification from SPOT images. Implementations of a Boolean and a Maximum Likelihood Classifier are demonstrated using an "expert tutor" based on a home developed PROLOG shell with binary logic and one using a commercial shell (ENVISAGE).

Original language	English
Pages (from-to)	161-171
Number of pages	11
Journal	ISPRS Journal of Photogrammetry and Remote Sensing
Volume	46
Issue number	3
DOIs	https://doi.org/10.1016/0924-2716(91)90033-R
Publication status	Published - 1 Jan 1991
Externally published	Yes

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10.1016/0924-2716(91)90033-R

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Progress in knowledge engineering for image interpretation and classification

Abstract

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