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The theory of parameter estimation is applied to the problem of mapping radar image design. A postdetection processing technique guided by this theory yields quantitative interrelations among important final image parameters, i.e., number of grey levels of a specified confidence factor, dynamic range, and final image sample distance. In turn, it is found that specification of the foregoing places sample distance and minimum signal-to-noise (SNR) requirements on the raw radar data prior to processing. The formulas, table, and curves presented, although for an ideal terrain mapper, give insight as to the quantity of data necessary to produce terrain maps of a specified quality.