A linear stochastic process and a genetic algorithm for ship trajectory modeling

Melita Hadzagic; Hannah Michalska

doi:10.1117/12.849350

27 April 2010 A linear stochastic process and a genetic algorithm for ship trajectory modeling

Melita Hadzagic, Hannah Michalska

Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 76970V (2010) https://doi.org/10.1117/12.849350
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The goal of this paper is to compare the performance of an algorithm employing the Integrated Ornstein- Uhlenbeck process with a genetic algorithm based method for ship track modeling. The positional measurements, received at irregular time intervals are assumed to have heteroscedastic and correlated errors and available in batches. The quality of the produced tracks is assessed using several simulated scenarios and evaluated statistically. The results of this performance evaluation are useful as they facilitate selecting the appropriate approach to data processing in maritime surveillance applications, hence contribute to increased maritime domain awareness.

Citation Download Citation

Melita Hadzagic and Hannah Michalska "A linear stochastic process and a genetic algorithm for ship trajectory modeling", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970V (27 April 2010); https://doi.org/10.1117/12.849350

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