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/

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