Title :
Feature for Distinguishing Propeller-Driven Airplanes from Turbine-Driven Airplanes
Author :
Liu, J. ; Zhang, J. ; Zhao, F.
Author_Institution :
Xidian Univ., Xi´´an, China
Abstract :
A novel feature for distinguishing propeller-driven airplanes from turbine-driven airplanes is proposed: the absolute difference between the Euclidean lengths of the amplitude spectrums of two neighboring high-resolution range profiles (HRRP). A preclassification method based on the proposed feature is also presented. Experimental results for measured data verify the efficiency of the proposed feature.
Keywords :
aerospace propulsion; aircraft; propellers; Euclidean lengths; amplitude spectrums; high-resolution range profiles; preclassification method; propeller driven airplanes; turbine driven airplanes; Airplanes; Computer science; Feature extraction; Propellers; Propulsion; Radar scattering; Support vector machine classification; Support vector machines; Target recognition; Turbines;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2010.5417158