Modeling of spectrum irradiance distribution in the optical axis of underwater light sources

Hu Bo; Wu Chaopeng; Yang Yong; Zhang Xu; Song Hong; Tao Jun

doi:10.3788/IRLA201948.0910001

A model for spectrum irradiance distribution with respect to the distance in the optical axis of underwater light sources was proposed based on the theory on light propagation and the attenuation of water on light. Model structure was built from physics and unknown parameters were determined by numerical methods. By utilizing the specific structure of the model, an identification approach was proposed where independent parameters were determined in different steps. The procedures for parameter identification were given in details. To validate the accuracy of the model and the feasibility of parameter identification, the model was further tested with underwater measurement data of an artificial light source. Results show that the model estimation is quite close to the measurement data and the root-mean-square value of the modeling error is only 4% of the measurement data, thus indicating high accuracy of the model. Application of this method can be found in modeling of underwater light field and underwater image processing.

Modeling of spectrum irradiance distribution in the optical axis of underwater light sources

1. Guangzhou Marine Geological Survey,Guangzhou 510075,China;

2. Ocean College,Zhejiang University,Zhoushan 316021,China

Received Date: 2019-04-11

Rev Recd Date: 2019-05-21

Publish Date: 2019-09-25

Key words:

Abstract: A model for spectrum irradiance distribution with respect to the distance in the optical axis of underwater light sources was proposed based on the theory on light propagation and the attenuation of water on light. Model structure was built from physics and unknown parameters were determined by numerical methods. By utilizing the specific structure of the model, an identification approach was proposed where independent parameters were determined in different steps. The procedures for parameter identification were given in details. To validate the accuracy of the model and the feasibility of parameter identification, the model was further tested with underwater measurement data of an artificial light source. Results show that the model estimation is quite close to the measurement data and the root-mean-square value of the modeling error is only 4% of the measurement data, thus indicating high accuracy of the model. Application of this method can be found in modeling of underwater light field and underwater image processing.

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Reference (16)

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Modeling of spectrum irradiance distribution in the optical axis of underwater light sources

doi: 10.3788/IRLA201948.0910001

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