Clutter and target characterization using Markov chains

Vassilis Anastassopoulos; George A. Lampropoulos

doi:10.1117/12.463165

13 March 2003 Clutter and target characterization using Markov chains

Vassilis Anastassopoulos, George A. Lampropoulos

Proceedings Volume 4885, Image and Signal Processing for Remote Sensing VIII; (2003) https://doi.org/10.1117/12.463165
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

In this paper a new approach for clutter and target characterization is proposed. The method is based on the use of Markov chains for representing the samples of both the clutter and the target. The mathematical representation of the clutter and the target is based on the transition matrix of an irreducible Markov chain. This kind of representation incorporates a full description of the underlying pdf as well as any order of statistical correlation. Among the useful and meaningful parameters of the transition matrix are its eigenvalues. In natural signals, transition matrices have only a small number of their elements with significant value. This fact can be used to device relatively simple Markov chain models for clutter representation. The target statistics can also be modeled by means of a Markov chain model. However, in this case, the model may be simpler since the target samples or pixels are highly correlated and their values are restricted to a smaller range compared to those of the clutter.

Citation Download Citation

Vassilis Anastassopoulos and George A. Lampropoulos "Clutter and target characterization using Markov chains", Proc. SPIE 4885, Image and Signal Processing for Remote Sensing VIII, (13 March 2003); https://doi.org/10.1117/12.463165

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