Objects of interest are categorized in two different ways. Simple objects, such as buildings, aircraft, ships, and tanks are distinguished from complexes, or complex objects. Simple objects are categorized, according to their lengthto-width ratios, as being either blobs or ribbons. The detection of simple objects is accomplished separately for ribbons and for blobs. The preprocessing which is carried out in the first portion of the system solves several of the problems inherent in the use of a simple patternrecognition device to aid in the photo interpretation problem. The function performed at the object identification level is that of identifying the blobs which have previously been detected, isolated, and standardized. At the complex object level, the location and identification information available from the simple object-level outputs is combined and appropriately weighted to identify objects at a higher level of complexity. An illustrative example is the combination of aircraft (simple objects) near a runway (another simple object) and a group of buildings (each a simple object) to determine the existence of an airfield.


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    Titel :

    Design of a Photo Interpretation Automaton


    Beteiligte:
    W. S. Holmes (Autor:in) / H. R. Leland (Autor:in) / G. E. Richmond (Autor:in)

    Erscheinungsdatum :

    1962


    Format / Umfang :

    9 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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