Feature development, selection, and minimization for classification of HRR targets

Edmund A. Quincy; Robert B. Stafford; Tom Chau

doi:10.1117/12.364081

29 September 1999 Feature development, selection, and minimization for classification of HRR targets

Edmund A. Quincy, Robert B. Stafford, Tom Chau

Proceedings Volume 3810, Radar Processing, Technology, and Applications IV; (1999) https://doi.org/10.1117/12.364081
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

In automatic/aided target recognition (ATR) applications using high resolution radar (HRR) range profiles (RP), storing and processing large data sets to make a target decision is faster and less costly when compression is used. In this research we focus on feature development, selection, and minimization that reduce data dimensionality and improve target identifiability using a Bayesian quadratic classifier. We explore the development and application of features based primarily on scattering centers represented in HRR range profiles for each of 5 military aircraft targets. Performance of the ATR system improved as optimum features were added producing a probability of correct classification of greater than 99% for 2 training sets of RP using no more than 22 features. Ninety-six percent or more RP were still correctly classified when the system was trained on one set of data and then classified non-training data. When an unknown target was added to either data set, 90% or greater of the range profiles were correctly declared 27.6% unknown RPs were correctly classified as unknown. Compression reduced data dimensionality by a factor of at least 36 while preserving or improving target detection and classification potential.

Citation Download Citation

Edmund A. Quincy, Robert B. Stafford, and Tom Chau "Feature development, selection, and minimization for classification of HRR targets", Proc. SPIE 3810, Radar Processing, Technology, and Applications IV, (29 September 1999); https://doi.org/10.1117/12.364081

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Automatic target recognition

Target recognition

Target detection

Feature extraction

Radar

Data modeling

Detection and tracking algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years