An advanced synthetic aperture radar interferometry (InSAR)-based iterative tropospheric decomposition model for more effectively mitigating both vertically stratified and turbulent delays is proposed in this article. The novelty of the model lies in two aspects: 1) incorporating turbulence variance, which characterizes the statistical properties of atmospheric turbulence, into a stochastic model when iteratively removing stratified delay and 2) taking the distance and turbulence variance as the weight factors of samples, simultaneously, in spatially interpolating turbulence. In addition, our ...
