Analysis and synthesis of inhomogeneous infrared clutter images

Keith T. Olree; James A. Dawson; Joe DeBlaquiere

doi:10.1117/12.327154

7 July 1998 Analysis and synthesis of inhomogeneous infrared clutter images

Keith T. Olree, James A. Dawson, Joe DeBlaquiere

Proceedings Volume 3375, Targets and Backgrounds: Characterization and Representation IV; (1998) https://doi.org/10.1117/12.327154
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

Clutter can be a significant challenge to the detection, tracking and discrimination abilities of infrared seekers and sensors, creating considerable interest in techniques for its characterization and synthesis. In the past, clutter power spectral density models have been used both to analyze and generate infrared clutter images. Many of these models assume stationary statistics for the clutter process (i.e., the clutter is homogeneous). For many real images, however, nonstationary statistics are needed for characterization. Likewise, more realistic synthetic images can be generated through the use of nonstationary statistics. This paper presents a technique for segmentation of an image into homogeneous regions and for subsequent synthesis of a similar image from white noise. For the segmentation, two features, the slope of the local-area power spectrum and the local-area mean, were first used to characterize each pixel in the image. Then, using the feature values, a 2D histogram was formed and a Bayesian decision process was used to cluster pixels with similar features into a small set of classes. The synthesis technique uses an adaptive spatial- domain filter to generate clutter images from white noise.

Citation Download Citation

Keith T. Olree, James A. Dawson, and Joe DeBlaquiere "Analysis and synthesis of inhomogeneous infrared clutter images", Proc. SPIE 3375, Targets and Backgrounds: Characterization and Representation IV, (7 July 1998); https://doi.org/10.1117/12.327154

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