相关系数
皮尔逊积矩相关系数
经度
遥感
人工神经网络
多光谱图像
卫星
MATLAB语言
叶绿素a
计算机科学
纬度
数学
物理
地质学
统计
大地测量学
人工智能
机器学习
化学
操作系统
生物化学
天文
作者
Qi Wang,Wei Meng,Yunfeng Ma,Zhihong Sun
出处
期刊:Communications in computer and information science
日期:2013-01-01
卷期号:: 257-265
被引量:1
标识
DOI:10.1007/978-3-642-41908-9_26
摘要
With the latitude and longitude coordinates and same place, 26 field monitoring data of Dahuofang was associated with HJ-1 satellite multispectral CCD data. This paper analyses the correlation between chlorophyll-a concentration and four bands, band combination of multispectral data. The Pearson’s correlation coefficient was calculated by MATLAB software to find band combination T1, T27, T32 which have higher Pearson coefficient and then establish the linear model with these independent variables. Due to the complex optical characteristics of the water body, the relationship between chlorophyll-a concentration and the spectrum can’t simply be described with a linear model. So in the paper we use BP neural network for modeling and prediction. The results show that BP neural network is better than the linear model and it can be used for the prediction of chlorophyll-a concentration.
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