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基于改进型B-P神经网络的西天山云杉林生物量估算
引用本文:袁野,李虎,刘玉峰.基于改进型B-P神经网络的西天山云杉林生物量估算[J].福建师范大学学报(自然科学版),2011,27(2):124-132.
作者姓名:袁野  李虎  刘玉峰
作者单位:袁野,YUAN Ye(福建师范大学地理科学学院,福建,福州,350108;兰州大学资源环境学院,甘肃,兰州,730000);李虎,刘玉峰,LI Hu,LIU Yu-feng(福建师范大学地理科学学院,福建,福州,350108)
基金项目:国家基础科学人才培养基金资助
摘    要:以西天山云杉林为例,在实地调查的基础上,以NDVI等七个植被指数和TM/ETM数据主成分变换后的前5个主成分为自变量,应用B-P人工神经网络技术,建立了西天山尼勒克林区遥感影像数据与云杉林生物量实地数据之间的神经网络模型.通过训练和仿真,与实地数据进行比较,结果表明,云杉林生物量估算值与实际值之间的平均相对误差为8.2...

关 键 词:B-P神经网络  天山云杉林  生物量  遥感植被指数

Picea Schrenkiana Forest Biomass Estimate in the West Tianshan Mountain Based on Improved B-P Neural Network
YUAN Ye,LI Hu,LIU Yu-feng.Picea Schrenkiana Forest Biomass Estimate in the West Tianshan Mountain Based on Improved B-P Neural Network[J].Journal of Fujian Teachers University(Natural Science),2011,27(2):124-132.
Authors:YUAN Ye  LI Hu  LIU Yu-feng
Affiliation:YUAN Ye1,2,LI Hu1,LIU Yu-feng1(1.College of Geographical Sciences,Fujian Normal University,Fuzhou 350108,China,2.College of Earth and Environmental Science,Lanzhou University,Lanzhou 730000,Chian)
Abstract:It takes Picea schrenkiana as an example.With the application of B-P artificial neural network technology,using seven kinds of vegetation index such as NDVI and the former five PCAs that come from TM/ETM principal component transform,a neural network model was established based on the data of remote sensing and field measurements in Nileke west of the Tianshan Mountains.After training and simulation,compared this model with the field measurements,the result shows that its average relative error between esti...
Keywords:B-P neural network  Picea schrenkiana  forest biomass  plant index of remote sensing  
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