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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >MTSAT-1R Visible Imager Point Spread Function Correction, Part II: Theory
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MTSAT-1R Visible Imager Point Spread Function Correction, Part II: Theory

机译：MTSAT-1R可见光成像点扩展功能校正，第二部分：理论

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摘要

An image processing methodology is presented to recover the quality of the Multifunctional Transport Satellite (MTSAT)-1R visible channel data affected by spatial crosstalk. The slight blurring of the visible optical path is attributed to an imperfection in the mirror surface caused either by flawed polishing or a dust contaminant. The methodology assumes that the dispersed portion of the signal is small and distributed randomly around the optical axis, which allows the image to be deconvolved using an inverted point spread function (PSF). The PSF is described by four parameters, which are solved using a maximum-likelihood estimator using coincident collocated MTSAT-2 images as truth. A subpixel image matching technique is used to align the MTSAT-2 pixels into the MTSAT-1R projection and to correct for navigation errors and cloud displacement due to the time and viewing geometry differences between the two satellite observations. An optimal set of the PSF parameters is derived by an iterative routine based on the 4-D Powell's conjugate direction method that minimizes the difference between the PSF-corrected MTSAT-1R and the collocated MTSAT-2 images. The PSF parameters were found to be consistent over the 5 days of available daytime coincident and MTSAT-1R and MTSAT-2 images. After applying the PSF parameters, the visible sensor response is nearly linear, and the space count is close to zero. The overall linear regression standard error was reduced by 52%. Users can easily apply the PSF parameter coefficients to the MTSAT-1R imager pixel level counts to restore the original quality of the entire MTSAT-1R record.
机译：提出了一种图像处理方法来恢复受空间串扰影响的多功能运输卫星（MTSAT）-1R可见信道数据的质量。可见光路的轻微模糊是由于抛光缺陷或灰尘污染物导致的镜面缺陷。该方法假设信号的分散部分很小，并且绕光轴随机分布，这允许使用倒相点扩展函数（PSF）对图像进行反卷积。 PSF由四个参数来描述，这四个参数使用最大似然估计器（使用重合并置的MTSAT-2图像作为真值）进行求解。子像素图像匹配技术用于将MTSAT-2像素对准MTSAT-1R投影，并校正由于两次卫星观测之间的时间和观看几何差异而导致的导航误差和云层位移。通过基于4-D鲍威尔共轭方向法的迭代例程可得出一组最佳的PSF参数，该方法可最小化经PSF校正的MTSAT-1R与并置的MTSAT-2图像之间的差异。发现PSF参数在可用日间重合的5天以及MTSAT-1R和MTSAT-2图像中保持一致。应用PSF参数后，可见传感器的响应几乎是线性的，空间计数接近于零。总体线性回归标准误差降低了52％。用户可以轻松地将PSF参数系数应用于MTSAT-1R成像器像素水平计数，以恢复整个MTSAT-1R记录的原始质量。

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