期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B3
页码：509-513
出版社：Copernicus Publications
摘要：The researcher I user of software for digital image analysis is confronted with huge libraries of subroutines. In orderto solve a problem from a set of problems, it is, in general, not clear which subroutines should be selected, withwhat setting of the parameters, The authors have set out to structure and classify subroutines generally availablein image processing and image analysis libraries as a first step in bottom up knowledge engineering. In order toreduce the redundancy in the large sets of subroutines, a virtual image analysis engine has to have aminimum(reduced) instruction set.Computer assisted problem analysis is approached in a top down manner. APROLOG style specification language is developed, which allows goal directed programming. This means that theproblems have to be specified in terms of relations between the components of a model.The language will checkwhether the number of constraints is sufficient, and if so, will solve the unknown(s). Often a search of problemspace has to be performed where an optimisation criterion is required (cost function). The criterion used here isminimum cost! maximum benefit of classification or parameter estimation
