Automated target detection from compressive measurements

Richard Z. Shilling; Robert R. Muise

doi:10.1117/12.2222791

20 April 2016 Automated target detection from compressive measurements

Proceedings Volume 9845, Optical Pattern Recognition XXVII; 984502 (2016) https://doi.org/10.1117/12.2222791
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

A novel compressive imaging model is proposed that multiplexes segments of the field of view onto an infrared focal plane array (FPA). Similar to the compound eyes of insects, our imaging model is based on combining pixels from a surface comprising of different parts of the field of view (FOV). We formalize this superposition of pixels in a global multiplexing process reducing the resolution requirements of the FPA. We then apply automated target detection algorithms directed on the measurements of this model in a typical missile seeker scene. Based on quadratic correlation filters, we extend the target training and detection processes directly using these encoded measurements. Preliminary results are promising.

Citation Download Citation

Richard Z. Shilling and Robert R. Muise "Automated target detection from compressive measurements", Proc. SPIE 9845, Optical Pattern Recognition XXVII, 984502 (20 April 2016); https://doi.org/10.1117/12.2222791

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