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Model Inversion of BBPV Based on DWD of MISR RS Image

机译:基于MISR RS图像DWD的BBPV模型反演

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摘要

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.
机译:该信提出了一种利用遥感图像的多尺度二维离散小波分解(DWD)反演植被叶片生物物理和生化参数的新算法。借助多角度成像光谱仪(MISR)RS图像,基于MISR RS图像的DWD,在小波分解的各个尺度上使用该算法实现了多尺度BBPV反演。粗尺度小波分解的检索结果被视为精细尺度反演的先验知识,然后,粗尺度小波分解的检索结果也被视为精细尺度反演的初始值。这样,MISR RS图像的小波分解被逐渐细化,并且检索结果同样被细化,直到最终获得最佳BBPV。此外,这封信还通过采用植物叶片的辐射传递模型(RTMV)探讨了BBPV模型反演的算法原理。以叶面积指数的模型反演为例,最终获得令人满意的高精度检索结果。实验表明,该算法在BBPV模型反演中非常有效且可靠。该算法为MISPVS图像的DWD开辟了一条新的BBPV模型反演算法。

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