Model Inversion of BBPV Based on DWD of MISR RS Image

Abstract

This letter puts forward a novel algorithm for the inversion of biophysical and biochemical parameter of vegetation leaves (BBPV) by means of the multiscale two-dimension discrete wavelet decomposition (DWD) of remote sensing (RS) image. With the aid of a multiangle imaging spectroradiometer (MISR) RS image, the multiscale BBPV inversion is implemented with the algorithm on each scale of wavelet decomposition based on DWD of MISR RS image. The retrieved results of the rough-scale wavelet decomposition are regarded as a priori knowledge of the fine-scale inversion, and then, the retrieved results of the rough-scale wavelet decomposition are also regarded as the initial values of the fine-scale inversion. In this way, the wavelet decomposition of the MISR RS image is gradually refined, and the retrieved result is likewise gradually refined until optimal BBPV is achieved in the end. Furthermore, this letter also probes the algorithm principle of the model inversion of BBPV, by employing the radiative transfer model of vegetation leaves (RTMV). Taking the model inversion of leaf area index as an example, a satisfactory retrieval result of higher precision is finally obtained. The experiment demonstrates that the proposed algorithm is very effectual and reliable in the model inversion of BBPV. The proposed algorithm opens up a novel algorithmic pathway for the model inversion of BBPV by means of DWD of MISR RS image.