Stochastic Image Algebra For Multisensor Fusion And Spatial Reasoning: A Neural Approach

Su-shing Chen

doi:10.1117/12.960433

30 August 1989 Stochastic Image Algebra For Multisensor Fusion And Spatial Reasoning: A Neural Approach

Su-shing Chen

Proceedings Volume 1098, Aerospace Pattern Recognition; (1989) https://doi.org/10.1117/12.960433
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

Due to the incomplete and partial nature of information in the computer vision, multisensor fusion and spatial reasoning problem domains, the image algebra is extended to a stochastic image algebra and a stochastic world model. These stochastic models provide a systematic approach to the parallel or neural network implementation of algorithms in computer vision, multisensor fusion and spatial reasoning.

Citation Download Citation

Su-shing Chen "Stochastic Image Algebra For Multisensor Fusion And Spatial Reasoning: A Neural Approach", Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); https://doi.org/10.1117/12.960433

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