Dual hidden Markov model characterization of wavelet coefficients from multiaspect scattering data

Nilanjan Dasgupta; Paul R. Runkle; Luise S. Couchman; Lawrence Carin

doi:10.1117/12.396179

22 August 2000 Dual hidden Markov model characterization of wavelet coefficients from multiaspect scattering data

Nilanjan Dasgupta, Paul R. Runkle, Luise S. Couchman, Lawrence Carin

Author Affiliations +

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396179
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

We consider angle-dependent scattering form a general target, for which the scattered signal is a non-stationary function of the target-sensor orientation. A statistical model is presented for the wavelet coefficients of such a signal, in which the angular non-stationary is characterized by an 'outer' hidden Markov model. The statistics of the wavelet coefficients, within a state of the outer HMM, are characterized by a second, 'inner' HMM, exploiting the tree structure of the wavelet decomposition. This dual-HMM construct is demonstrated by considering multi-aspect target identification using measured acoustic scattering data.

Citation Download Citation

Nilanjan Dasgupta, Paul R. Runkle, Luise S. Couchman, and Lawrence Carin "Dual hidden Markov model characterization of wavelet coefficients from multiaspect scattering data", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396179

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