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Image saturation assessment method for automated radar image processing systems


А.А. Romanov – Engineer, JSC «Concern «VEGA»; Post-graduate Student, Moscow Aviation Institute (National Research University). E-mail:

The most laborious and responsible part of earth sensing radar data processing is interpretation. That's why the development of the theory and automated interpretation radar image systems is one of the most important problems. It's solution allows to increase efficiency of radar reconnaissance results. Most automated image processing systems (radar image stitching, object recognition etc) require saturated image semantics to work correctly. There is no any quantitative parameter describing image semantics saturation nowadays. It makes the establishing of requirements for such processing systems more difficult. This report will present the calculation method of quantitative value which allows to estimate radar image suitability for automated image processing systems requiring saturated image semantics.

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