BPN for Land Cover Classification by Using Remotely Sensed Data

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/26645

Title:	BPN for Land Cover Classification by Using Remotely Sensed Data
Authors:	陳莉 Chen, Li
Contributors:	土木工程學系 Civil Engineering
Keywords:	artificial neural network;classification;remote sensing;SPOT HRV
Date:	2009
Issue Date:	2014-06-26 20:43:36 (UTC+8)
Abstract:	The artificial neural network (ANN) is a recently popular nonparametric approach for supervised classification. ANN has been extensively applied to perform classification of remotely sensed data in this paper because it has been shown to be able to map la
Appears in Collections:	[Department of Civil Engineering] Seminar Papers

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