Multistage infrared target detection

Alex Lipchen Chan; Sandor Z. Der; Nasser M. Nasrabadi

doi:10.1117/1.1593038

1 September 2003 Multistage infrared target detection

Alex Lipchen Chan, Sandor Z. Der, Nasser M. Nasrabadi

Optical Engineering, Vol. 42, Issue 9, (September 2003). https://doi.org/10.1117/1.1593038

Algorithms are considered for searching wide-area forward-looking infrared imagery for military vehicles. Wide-area search has typically been handled by using a simple detection algorithm with low computational cost to search the entire image or set of images, followed by a clutter rejection algorithm that analyzes only those portions of the image that are marked by the detection algorithm. We start with a feature-based detector and an eigen-neural-based clutter rejecter, and examine a number of architectures for combining these modules to maximize joint performance. The architectures considered include a clutter rejection threshold method and a nonlinear learning-based combination. The performance of the architectures is compared using a set of several thousand real images.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Alex Lipchen Chan, Sandor Z. Der, and Nasser M. Nasrabadi "Multistage infrared target detection," Optical Engineering 42(9), (1 September 2003). https://doi.org/10.1117/1.1593038

Published: 1 September 2003

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