Multispectra image composition for target detection and recognition

George A. Lampropoulos; James F. Boulter

doi:10.1117/12.285552

19 September 1997 Multispectra image composition for target detection and recognition

George A. Lampropoulos, James F. Boulter

Proceedings Volume 3119, Multispectral Imaging for Terrestrial Applications II; (1997) https://doi.org/10.1117/12.285552
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

This paper addresses the composition of multispectra images for target detection and recognition. It will provide the reader with tools with which multispectra images may be decomposed and new superimages may be composed to emphasize desired features of targets of interest. The proposed methodology consists of blur and noise estimation and reduction processes in association with registration, decomposition and resolution improvements. Examples from real data are being presented.

Citation Download Citation

George A. Lampropoulos and James F. Boulter "Multispectra image composition for target detection and recognition", Proc. SPIE 3119, Multispectral Imaging for Terrestrial Applications II, (19 September 1997); https://doi.org/10.1117/12.285552

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