海洋科学2015，Vol.39Issue(4)：92-100,9.DOI:10.11759/hykx20131112003
浒苔水体光谱特征参量时间序列数据拟合研究
Fitting study of time series spectral variables of Enteromor-pha prolifera water body
摘要
Abstract
It is of significance to seek for the optimum fitting method and further dynamically monitor Enteromor-pha prolifera using hyperspectral, high spatial resolution and high temporal resolution remotely sensed data. Three different kinds of densities for Enteromorpha prolifera water body in the lab were cultivated. Reflectance spectra of Enteromorpha prolifera water body were measured by ASD spectrometer, spectral variables based on reflectance spectra were extracted and the time series data were constructed. Curve estimation and ARMA (Autoregressive and Moving Average) model were applied to simulate reflectance spectra. Research results demonstrated that spectral variables of Enteromorpha prolifera were highly simulated by second-order and third-order polynomial function and ARMA model. Moreover, ARMA model can affect the distribution and fluctuation features of reflectance spec-tra of Enteromorpha prolifera more significantly than polynomial function. The present study will provide dy-namical monitoring business operation department of Enteromorpha prolifera hazard with reflectance spectra data of Enteromorpha prolifera and a new technique for data processing and analysis.关键词
浒苔(Enteromorphaprolifera)/反射光谱/时间序列模型/特征变量/多项式拟合Key words
Enteromorpha prolifera/reflectance spectra/time series/characteristics variables/polynomial fitting分类
信息技术与安全科学引用本文复制引用
卢霞,王春艳,谢宏全,彭红春,李海英..浒苔水体光谱特征参量时间序列数据拟合研究[J].海洋科学,2015,39(4):92-100,9.基金项目
国家自然科学基金重大研究计划项目(91025022) （91025022）
