Subclutter target detection using sequences of thermal infrared multispectral imagery

Alan P. Schaum; Alan D. Stocker

doi:10.1117/12.280605

4 August 1997 Subclutter target detection using sequences of thermal infrared multispectral imagery

Alan P. Schaum, Alan D. Stocker

Proceedings Volume 3071, Algorithms for Multispectral and Hyperspectral Imagery III; (1997) https://doi.org/10.1117/12.280605
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Multivariate correlation techniques can be used to enhance target contrast in spectroscopic imagery. But in most cases the detectability of dim targets remains limited by residual background clutter. If, however, multiple-time measurements can be made, detection performance can be markedly enhanced by an integrated spectral/temporal technique that exploits the correlated nature of background spectral trajectories. We demonstrate the detection of extreme subpixel objects, such as is required by long-range remote sensing systems. We also show that the time intervals between data collections can be long. The confusing effects of natural background evolution-in temperature distribution or illumination-can be distinguished from anomalous changes. Data collected with longwave infrared point- and imaging-spectrometers have validated the concept.

Citation Download Citation

Alan P. Schaum and Alan D. Stocker "Subclutter target detection using sequences of thermal infrared multispectral imagery", Proc. SPIE 3071, Algorithms for Multispectral and Hyperspectral Imagery III, (4 August 1997); https://doi.org/10.1117/12.280605

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