| An Approach to Improving the Retrieval Accuracy of Oceanic Constituents in Case Ⅱ Waters |
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| 作者姓名： | ZHANGTinglu FrankFell |
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| 作者单位： | [1]OceanRemoteSensingLaboratoryofMinistryofEducationofChina,OceanRemoteSensingInstitute,OceanUniversityofChina,Qingdao266003,P.R.China [2]InstitutfiirWeltraumwissenschaften,FreieUniversitgitBerlin,Carl-Heinrich-Becker-Weg6-10,12165Berlin,Germany |
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| 摘 要： | 1 Introduction At present ,theretrievalofoceanicconstituentsfromoceancolourmeasurementsinCaseⅡwatersisoneofthemajorchallengesinoceancolourstudy(IOCCG ,2 0 0 0 ) .TheconstituentspresentinCaseⅡwatersaregenerallydividedintothreetypes :chloro phyll (CHL) …
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| 关 键 词： | retrieval accuracy oceanic constituents artificial neural network Case Ⅱ waters ocean colour remote sensing |
| 收稿时间： | 26 February 2004 |
| 修稿时间： | 16 August 2004 |
An approach to improving the retrieval accuracy of oceanic constituents in Case II waters |
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| ZHANGTinglu FrankFell.An approach to improving the retrieval accuracy of oceanic constituents in Case II waters[J].Journal of Ocean University of China,2004,3(2):220-224. |
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| Authors: | Email author" target="_blank">Zhang?Tinglu?Email author Frank?Fell |
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| Institution: | 1.Ocean Remote Sensing Laboratory of Ministry of Education of China, Ocean Remote Sensing Institute,Ocean University of China,Qingdao,P.R.China;2.Institut für Weltraumwissenschaften,Freie Universit?t Berlin,Berlin,Germany |
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| Abstract: | In the present paper, a method is proposed to improve the performance of Artificial Neural Network (ANN) based algorithms
for the retrieval of oceanic constituents in Case IT waters. The ANN-based algorithms have been developed based on a constraint
condition, which represents, to a certain degree, the correlation between suspended particulate matter (SPM) and pigment (CHL),
coloured dissolved organic matter (CDOM) and CHL, as well as CDOM and SPM, found in Case II waters. Compared with the ANN-based
algorithm developed without a constraint condition, the performance of ANN-based algorithms developed with a constraint conditions
is much better for the retrieval of CHL and CDOM, especially in the case of high noise levels; however, there is not significant
improvement for the retrieval of SPM. |
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| Keywords: | retrieval accuracy oceanic constituents artificial neural network Case II waters ocean colour remote sensing |
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