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基于遥感方法反演河口湾悬沙分布
引用本文:林强,陈一梅,黄永葛.基于遥感方法反演河口湾悬沙分布[J].水运工程,2008(2):19-22.
作者姓名:林强  陈一梅  黄永葛
作者单位:1. 东南大学交通学院,江苏,南京,210096
2. 福建省港航管理局,福建,福州,350001
摘    要:利用厦门湾地区遥感图像及准同步实测泥沙资料,进行相关和回归分析.结果表明,采用两种比值组合作为遥感参数,与表层含沙量作二次曲线回归,可以得到精度较高的模型.利用两种比值模型构建最佳组合模型,提高了模型预测精度,将其作为悬沙遥感反演的最优模型,由此得出了研究区域悬沙分布图.

关 键 词:遥感图像  悬沙分布  回归分析  组合模型  遥感方法  遥感反演  河口湾  悬沙分布  Remote  Sensing  Technology  Estuary  Suspended  Sediment  Distribution  分布图  区域  研究  最优模型  预测精度  组合模型  最佳  比值模型  曲线回归  含沙量  遥感参数  合作
文章编号:1002-4972(2008)02-0019-04
收稿时间:2007-07-21
修稿时间:2007年7月21日

An Analysis of Distribution of Suspended Sediment in Estuary by Using Remote Sensing Technology
LIN Qiang,CHEN Yi-mei,HUANG Yong-ge.An Analysis of Distribution of Suspended Sediment in Estuary by Using Remote Sensing Technology[J].Port & Waterway Engineering,2008(2):19-22.
Authors:LIN Qiang  CHEN Yi-mei  HUANG Yong-ge
Abstract:According to the remote sensing images and sediment concentration data acquired quasisynchronously, correlation analysis and regression analysis are made, the results of which indicated that using two kinds of band ratios and silt concentration, two conic regression model which have a high precision can be worked out. By the combinatorial model established based on the two models, a higher forecast precision is acquired. Using this model as the best inversion model to derive the suspended sediment distribution of the estuary, the distribution diagram of suspended sand at the research area is obtained.
Keywords:remote sensing image  distribution of suspended sediment  regression analysis  combinatorial model
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