Remote sensing image classification method using neural network based on generalized image

Tianqiang Peng; Bicheng Li

doi:10.1117/12.467878

11 June 2003 Remote sensing image classification method using neural network based on generalized image

Tianqiang Peng, Bicheng Li

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467878
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Conventional classification methods cannot recognize the phenomena of "same spectrum with different land matters" so as to degrade classification accuracy. To solve the problem, this paper proposes a new classification method using neural network based on generalized image, where the space information of the image are exploited. Firstly, we combine the original image with its smoothed image to form a binary set called as a "generalized image," which contains the space information of the original image. Secondly, we make use of artificial neural networks (ANN) to train and classify the "generalized image." Finally, we get the classification result of the original image from that of the "generalized image." Experiment results show that the new method is very efficient, and the classification accuracy is improved largely compared with the classic ANN method.

Citation Download Citation

Tianqiang Peng and Bicheng Li "Remote sensing image classification method using neural network based on generalized image", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467878

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