Improved Cartographic Classification Via Expert Systems

Mark F. Doherty; Carolyn M. Bjorklund; Connie Y. Wang; Mark T. Noga; Robert H. Laprade

doi:10.1117/12.964108

26 March 1986 Improved Cartographic Classification Via Expert Systems

Mark F. Doherty, Carolyn M. Bjorklund, Connie Y. Wang, Mark T. Noga, Robert H. Laprade

Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964108
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

Abstract

Statistical classification algorithms currently achieve good, but not perfect, results when classifying complex aerial images into eight or more classes. We show results from one tree classifier which provided between 50% to 65% accuracy in an unsupervised mode. This paper explains how our Advanced Cartographic Expert System (ACES) can be utilized to improve this classification accuracy.

Citation Download Citation

Mark F. Doherty, Carolyn M. Bjorklund, Connie Y. Wang, Mark T. Noga, and Robert H. Laprade "Improved Cartographic Classification Via Expert Systems", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964108

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