Weak target detection using the entropy concept

Herbert Gish

doi:10.1117/12.2321764

1 October 1990 Weak target detection using the entropy concept

Herbert Gish

Proceedings Volume 1305, Signal and Data Processing of Small Targets 1990; (1990) https://doi.org/10.1117/12.2321764
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

Entropy and its generalization, the Kuliback-Leibler measure can be useful in characterizing the relationships that exist between measurements. The relationships that exist when a target is present provide a means of distinguishing these measurements from a set of measurements due to noise alone. We utilize these ideas in developing a detection procedure that first develops a score based on measurements using the Significance Test and then calculates the relationship between the measurements. This relationship is the "effective number" of measurements entering into the Significance Test score and is computed from the entropy of the normalized measurements; both a high score and "effective number" are needed for a detection. The "effective number" is used to discriminate against false detections, i.e., high scores, caused by a relatively few, strong, noisy measurements. We compare the performance of this detector to more conventional detectors in the problem of detecting a target in Weibull clutter.

Citation Download Citation

Herbert Gish "Weak target detection using the entropy concept", Proc. SPIE 1305, Signal and Data Processing of Small Targets 1990, (1 October 1990); https://doi.org/10.1117/12.2321764

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