Referenced Items are not available for this document.
This paper presents a new classification method based on a combination of GIS and BP (back propagation) artificial neural network, taking the TM image of the area of Jinzhou city in 2000 as the testing one. BP neural network can be optimized by means of selecting GIS data aided training sample, improving training algorithm, calculating the number of nodes in the hidden layer and so on. Compared with traditional methods, optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.
Published in:
Geoinformatics, 2010 18th International Conference on
Date of Conference: 18-20 June 2010
- Page(s):
- 1 - 5
- Print ISBN:
- 978-1-4244-7301-4
- INSPEC Accession Number:
- 11532641
- Conference Location :
- Beijing
- Digital Object Identifier :
- 10.1109/GEOINFORMATICS.2010.5568049
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
