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基于遗传自组织神经元网络的可见光与热红外遥感数据融合方法(英文)
引用本文:王崇倡,杨贵军,马振力,邢著荣.基于遗传自组织神经元网络的可见光与热红外遥感数据融合方法(英文)[J].地球空间信息科学学报,2009,12(4):271-280.
作者姓名:王崇倡  杨贵军  马振力  邢著荣
作者单位:School of Geomatics;Liaoning Technical University;
基金项目:Supported by the Key Laboratory of Mapping from Space of State Bureau of Surveying and Mapping(No.200815); the Natural Science Foundation ofChina (NSFC 40371087,40701119); the Major State Basic Research Development Program of China (973 Program) (No.2007CB714401); the Na-tional High Technology Research and Development Program of China (863 Program) (No.2007AA10Z201)
摘    要:

关 键 词:融合方法  自组织神经元网络  遗传  可见光  遥感数据  热红外  

Fusion of VNIR and thermal infrared remote sensing data based on GA-SOFM neural network
Chongchang Wang,Guijun Yang,Zhen li Ma,Zhurong Xing.Fusion of VNIR and thermal infrared remote sensing data based on GA-SOFM neural network[J].Geo-Spatial Information Science,2009,12(4):271-280.
Authors:Chongchang Wang  Guijun Yang  Zhen li Ma  Zhurong Xing
Institution:WANG Chongchang.YANG Guijun MA Zhen li XING Zhurong School of Geomatics,Liaoning Technical University,47 Zhonghua Road,Fuxin 123000,China
Abstract:The multi-source data fusion methods are rarely involved in VNIR and thermal infrared remote sensing at present.Therefore,the potential advantages of the two kinds of data have not yet been adequately tapped,which results in low calculation precision of parameters related with land surface temperature.A new fusion method is put forward where the characteristics of the high spatial resolution of VNIR(visible and near infrared) data and the high temporal resolution of thermal infrared data are fully explored ...
Keywords:fusion  VNIR data  thermal infrared  land surface parameter  GA-SOFM mapping  ANN  
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