Target classification using radar data: a comparative study

Gerardo J. Melendez; Allon Guez; Stanislav Kesler

doi:10.1117/12.140063

16 September 1992 Target classification using radar data: a comparative study

Gerardo J. Melendez, Allon Guez, Stanislav Kesler

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.140063
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

This paper compares three different approaches when used against a problem of present and practical interest: the classification of radar return data from two classes of aircraft. The three approaches are: the typical feature extraction approach used for target classification when dealing with radar data; a multi layer perceptron neural network approach and; a branched multi layer perceptron neural network approach. The comparison was performed under equal conditions and at restricted sensor parameter conditions to demonstrate the anticipated advantage of the neural network approach in that it will be able to classify targets when the sensor parameters are not suitable for the feature extraction approach to work. The classification rate was used as the measure of effectiveness. Up to date the feature extraction approach has provided a classification rate of 84.1%. The multi layer perceptron consists of a one hidden layer network and the best classification rate it has provided is 86.8%. The branched multi layer perceptron consists of two separate multi layer perceptron neural networks trained to recognize only one class of targets and the best classification rate it has provided is 54.9%. The discrepancy in performance between the two neural network approaches is perhaps due to the more general structure with improved discrimination power of the branched network.

Citation Download Citation

Gerardo J. Melendez, Allon Guez, and Stanislav Kesler "Target classification using radar data: a comparative study", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.140063

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available