Infrared small target detection in a wide field imaging system

Jinyan Gao; Zaiping Lin; Wei An

doi:10.1117/12.2278268

5 October 2017 Infrared small target detection in a wide field imaging system

Jinyan Gao, Zaiping Lin, Wei An

Proceedings Volume 10434, Electro-Optical Remote Sensing XI; 104340R (2017) https://doi.org/10.1117/12.2278268
Event: SPIE Security + Defence, 2017, Warsaw, Poland

Abstract

Small target detection in wide-area surveillance is a challenging task. Current imaging staring sensors in practical systems are characterized by large pixel counts and wide field of view (WFOV). Therefore, it is not suitable to detect targets simply via a single algorithm in different background types. We solve this problem by local windowing approach and take different background suppression and target enhancement methods for different surveillance scenarios. Monte Carlo simulations are provided and the experimental results demonstrate that we can effectively detect dim small targets with a very low false alarm rate and an acceptable detection rate in the proposed detection architecture.

Citation Download Citation

Jinyan Gao, Zaiping Lin, and Wei An "Infrared small target detection in a wide field imaging system", Proc. SPIE 10434, Electro-Optical Remote Sensing XI, 104340R (5 October 2017); https://doi.org/10.1117/12.2278268

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