Hierarchical modular structure for automatic target recognition systems

Rui Song; Hu Ji; Shengping Xia; Weidong Hu; Wenxian Yu

doi:10.1117/12.441624

24 September 2001 Hierarchical modular structure for automatic target recognition systems

Rui Song, Hu Ji, Shengping Xia, Weidong Hu, Wenxian Yu

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441624
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Numerous methods have been applied in automatic target recognition (ATR) systems now, and a lot of factors can impact the system robustness and the recognition ratio. There is always a need for a system structure to adapt different recognition algorithms and provide rapid performance evaluation and comparisons of these algorithms. In this paper, a hierarchical modular structure for automatic target recognition system is brought forward. With the applying of the hierarchical target recognition method, a complicated multi-class recognition problem can be disintegrated into simpler recognition problems with fewer classes in different layers. Meanwhile, an ATR system with the modular structure consists of relatively stand-alone modules that implement different functions such as data acquisition, feature extraction and target recognition. Different algorithms can be implemented, providing optional modules for the system construction. Designers can easily choose between algorithms, adjust and optimize these modules respectively and provide the optimal design for the whole system.

Citation Download Citation

Rui Song, Hu Ji, Shengping Xia, Weidong Hu, and Wenxian Yu "Hierarchical modular structure for automatic target recognition systems", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441624

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