An Interactive-Iteration method for deriving Ocean Color Factors using Remote Sensing
In the remote sensing detection of the ocean color factors near seacoast,the spectral signal of water includes other spectral information,such as suspended matter,colored dissolved organic matter (CDOM),chlorophyll and so on.Each component has its specific spectrogram,and they are overlapped and hard to separate,which affect the precision of remote sensing retrieval model obviously.Considering the high correlation between chlorophyll and suspended matter,we proposed a new method based on the interactive iteration to estimate concentration of chlorophyll and suspended matter.Compared with single-factor-retrieval models,the precision of chlorophyll-iterative model increases from 68.312％ to 77.47％,the precision of suspended matter-iterative model increases from 86.60％ to 92.04％.Finally,the proposed method is applied to the SeaWiFS images for obtaining the chlorophyll and suspended matter distribution map of Pearl River.Compared with the investigation and study of other scholars,they have the same trend of distribution.All of results showed that this iterative model could be used to estimate the concentration of chlorophyll and suspended matter in the Pearl River effectively.
iterative method optimization case-2 water ocean color factors
Xiaoxiang Chen Meifeng Jiang Rongtao Liang
School of geography and planning,SUN YAT-SEN University,GuangZhou,China 510275
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）