Water quality model parameters inversion based on improved stochastic optimization

As inherent optical properties (IOPs) are directly related to the constituents in the water, the condition of water quality can be reflected by fundamental IOPs absorption and scattering coefficients. And these values can be derived by analytically inverting the remote sensing spectral reflectance. In this paper, the relations between the remote sensing reflectance and water quality information are established, and the model parameters of water quality are obtained by stochastic optimization. Based on Threshold Accepting algorithm, a method with the improved searching strategy and new optimization criteria is proposed to find optimal parameters for the inversion model. The experiments conducted on the simulated data and real data, which indicate that through the division of optimization parameters and the use of different search methods, the accuracy of inversion and operational efficiency can be improved.