Automation in photo interpretation

Abstract Automatic photo interpretation can be regarded as a special problem in pattern recognition. There are basically two large groups of processing methods applicable to automatic interpretation: 1) Spatial filtering techniques, and 2) numerical classification methods. Here, the emphasis is on the secound group. Alternative approaches to the classification of photo measurements are reviewed without a formal mathematical treatment. In particular, various discriminant and grouping methods are discussed, and their effect in terms of classificaton accuracy is shown by means of a sample of agricultural land use types. The paper then deals with attempted technical implementation and finally gives some results obtained in experimental studies.

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