BPN for Land Cover Classification by Using Remotely Sensed Data

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题名:	BPN for Land Cover Classification by Using Remotely Sensed Data
作者:	陳莉 Chen, Li
贡献者:	土木工程學系 Civil Engineering
关键词:	artificial neural network;classification;remote sensing;SPOT HRV
日期:	2009
上传时间:	2014-06-26 20:43:36 (UTC+8)
摘要:	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
显示于类别:	[土木工程學系] 研討會論文

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