Bayesian networks for mapping salinity using multitemporal Landsat TM imagery

Dongming Huo; Jingxiong Zhang; Jiabing Sun; Gaohuan Liu

doi:10.1117/12.441695

20 September 2001 Bayesian networks for mapping salinity using multitemporal Landsat TM imagery

Dongming Huo, Jingxiong Zhang, Jiabing Sun, Gaohuan Liu

Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441695
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Bayesian networks are used for reasoning under uncertainty. This paper examines the use of Bayesian networks for integrating multi-temporal remotely sensed data with landform data derived from digital elevation models (DEM) and groundwater data to produce maps showing areas affected by salinity in the Yellow River Delta of China. Incorporating prior knowledge about the relationships between input attributes and their relationship with salinity, a conditional probabilistic network is used to impose a known relationship between input attributes and salinity status. The results are compared with maximum likelihood classification techniques using single-date Landsat TM imagery. They show a large improvement on the maximum likelihood classifier. The network is used to produce a time-series of landcover and salinity maps for the Yellow River Delta.

Citation Download Citation

Dongming Huo, Jingxiong Zhang, Jiabing Sun, and Gaohuan Liu "Bayesian networks for mapping salinity using multitemporal Landsat TM imagery", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); https://doi.org/10.1117/12.441695

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Earth observing sensors

Data modeling

Landsat

Neural networks

Associative arrays

Rule based systems

Satellites

Show All Keywords

Keywords/Phrases

Search In:

Publication Years