A Regularization Parameter Choice Method on Linear Quantitative Remote Sensing Inversion

Choosing a regularization parameter in linear quantitative remote sensing inversion is studied.From the point of information theory,a new regularization parameter choice method called maximum entropy method is proposed.Compared with other methods,the new method shows its obvious advantage in the case of that the error of the observations used in inversion process is not large or the prior knowledge has a higher precision.