基于辐射传输模型的水质固有光学参数的正则化反演

s a physical-based model, Radiative Transfer Equations (RTE) has proved to be an outstanding tool to predict light fields distribution in certain water body. Moreover, the inversion technique provide us a possibility to retrieve water properties from their spectrum based on RTE. However, existing inverse algorithms to calculate IOPs based on RTE are lack of stability due to the ill-posed nature of inverse problem. In this paper, we propose a modification inverse method to solve RTE. A regularization term is forced to Gauss-Newton iterations; therefore, the sensitivity to model noise is reduced, name-ly stability is improved. The experiment results show that our algorithm can acquire comparable retrieve outputs when noise is added to input spectrum.