Applying target shadow models for SAR ATR

Scott Papson; Ram M. Narayanan

doi:10.1117/12.720223

7 May 2007 Applying target shadow models for SAR ATR

Scott Papson, Ram M. Narayanan

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65670H (2007) https://doi.org/10.1117/12.720223
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Recent work has suggested that target shadows in synthetic aperture radar (SAR) images can be used effectively to aid in target classification. The method outlined in this paper has four steps - segmentation, representation, modeling, and selection. Segmentation is the process by which a smooth, background-free representation of the target's shadow is extracted from an image chip. A chain code technique is then used to represent the shadow boundary. Hidden Markov modeling is applied to sets of chain codes for multiple targets to create a suitable bank of target representations. Finally, an ensemble framework is proposed for classification. The proposed model selection process searches for an optimal ensemble of models based on various target model configurations. A five target subset of the MSTAR database is used for testing. Since the shadow is a back-projection of the target profile, some aspect angles will contain more discriminatory information then others. Therefore, performance is investigated as a function of aspect angle. Additionally, the case of multiple target looks is considered. The capability of the shadow-only classifier to enhance more traditional classification techniques is examined.

Citation Download Citation

Scott Papson and Ram M. Narayanan "Applying target shadow models for SAR ATR", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670H (7 May 2007); https://doi.org/10.1117/12.720223

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