Automatic target recognition of cluttered FLIR imagery using multistage feature extraction and feature repair

Syed A. Rizvi; Nasser M. Nasrabadi

doi:10.1117/12.477414

25 March 2003 Automatic target recognition of cluttered FLIR imagery using multistage feature extraction and feature repair

Syed A. Rizvi, Nasser M. Nasrabadi

Author Affiliations +

Proceedings Volume 5015, Applications of Artificial Neural Networks in Image Processing VIII; (2003) https://doi.org/10.1117/12.477414
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Automatic target recognition using forward-looking infrared imagery is a challenging problem because of the highly unpredictable nature of target thermal signatures. The high variability of target signatures, target obscuration, and clutter in the background results in distortion of target features, which are used by the target detection stage to identify a potential target. Consequently, the target detection stage produces a large number of false alarms. Distorted features in the potential targets also make accurate classification of targets difficult. The proposed technique, in essence attempts to repair the distorted features of the targets to improve the target detection/classification accuracy. The proposed technique completes the feature extraction process in two steps: First, the feature vectors are extracted and classified either as complete or incomplete features using feed-forward neural networks. The incomplete features are then transformed into complete features. These features can then be used to identify/classify the targets.

Citation Download Citation

Syed A. Rizvi and Nasser M. Nasrabadi "Automatic target recognition of cluttered FLIR imagery using multistage feature extraction and feature repair", Proc. SPIE 5015, Applications of Artificial Neural Networks in Image Processing VIII, (25 March 2003); https://doi.org/10.1117/12.477414

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