Knowledge-based artificial neural network and the application of it in understanding remotely sensed images

Chunxiang Wu

doi:10.1117/12.441692

20 September 2001 Knowledge-based artificial neural network and the application of it in understanding remotely sensed images

Chunxiang Wu

Author Affiliations +

Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441692
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The Artificial Neural Network (ANN) is an intelligent computer system bases on the empirical learning of the human being. Knowledge-Based Artificial Neural Networks (KBANN) effectively combines the knowledge learnt from theory with that of learnt from examples. This efficient combination of theory and data may result in efficient learning system. And the method of building a KBANN solves the problem that how to design the structure of the neural network. According to the way of building a KBANN, interpreting system of Remotely-Sensed images can be built.

Citation Download Citation

Chunxiang Wu "Knowledge-based artificial neural network and the application of it in understanding remotely sensed images", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); https://doi.org/10.1117/12.441692

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