The Use of Neural Networks in Identifying Error Sources in Satellite-Derived Tropical SST Estimates

The Use of Neural Networks in Identifying Error Sources in Satellite-Derived Tropical SST Estimates

An neural network model of data mining is used to identify error sources in satellite-derived tropical sea surface temperature (SST) estimates from thermal infrared sensors onboard the Geostationary Operational Environmental Satellite (GOES). By using the Back Propagation Network (BPN) algorithm, it...

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Bibliographic Details
Main Authors: Yu-Hsin Cheng, Yung-Hsiang Lee, Chung-Ru Ho, Nan-Jung Kuo, Feng-Chun Su
Format: Article
Language:English
Published: MDPI AG 2011-07-01
Series:Sensors
Subjects:
infrared sensor
data mining
neural network
sea surface temperature
tropical pacific
Online Access:http://www.mdpi.com/1424-8220/11/8/7530/

Internet

http://www.mdpi.com/1424-8220/11/8/7530/

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