The study on the MIF-based SM system

Baochang Xu; Zhe Chen

doi:10.1117/12.717987

30 October 2006 The study on the MIF-based SM system

Baochang Xu, Zhe Chen

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63582M (2006) https://doi.org/10.1117/12.717987
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

A multi-resource image fusion(MIF) based scene matching (SM) simulation platform is proposed, and each function module of the platform is designed. The methods how to generate CCD and SAR simulated real-time images are given. Matching probability, matching precision and matching rate are used as the performance measures of the MIF based SM system. The CCD/SAR image fusion based SM system is studied based on the simulation platform. Simulation results show that the platform can make quantitative evaluation to different simulation scheme and different fusion algorithm through some performance measures, and provide instructions for the design of real MIF based SM systems.

Citation Download Citation

Baochang Xu and Zhe Chen "The study on the MIF-based SM system", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63582M (30 October 2006); https://doi.org/10.1117/12.717987

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