In this paper

we use Bayes inversion to retrieve structural parameters of horizontal homogeneous canopy. A priori constraints are introduced in order to add information into inversion procedure. Tests with both measured data show that the results become more stable and accurate. A multi-stage inversion further suppress the systematic noise due to measurement limitation or model defect.simulated and is also used to