Mixture of factor analyzers models of appearance manifolds for resolved SAR targets

Tarek Abdelrahman; Emre Ertin

doi:10.1117/12.2176397

13 May 2015 Mixture of factor analyzers models of appearance manifolds for resolved SAR targets

Tarek Abdelrahman; Emre Ertin

Author Affiliations +

Proceedings Volume 9475, Algorithms for Synthetic Aperture Radar Imagery XXII; 94750G (2015) https://doi.org/10.1117/12.2176397
Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States

Abstract

We study the problem of target identification from Synthetic Aperture Radar (SAR) imagery. Target classification using SAR imagery is a challenging problem due to large variations of target signature as the target aspect angle changes. Previous work on modeling wide angle SAR imagery has shown that point features, extracted from scattering center locations, result in a high dimensional feature vector that lies on a low dimensional manifold. In this paper we use rich probabilistic models for these target manifolds to analyze classification performance as a function of Signal-to-noise ratio (SNR) and Bandwidth. We employ Mixture of Factor Analyzers (MoFA) models to approximate the target manifold locally, and use error bounds for the estimation and analysis of classification error performance. We compare our performance predictions with the empirical performance of practical classifiers using simulated wideband SAR signatures of civilian vehicles.

Citation Download Citation

Tarek Abdelrahman, Emre Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets", Proc. SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, 94750G (13 May 2015); doi: 10.1117/12.2176397; https://doi.org/10.1117/12.2176397

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years