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A CLOUD AREA ESTIMATION METHOD FOR GMS IMAGE

机译:GMS图像的云区域估计方法

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This paper proposes a method that estimates the position of clouds from VIS images (visible), and IR images (infrared) of GMS (Geostationary Meteorological Satellite). In VIS image, some images have incorrect data taken with extremely low brightness. In addition, estimating sunrise and sunset area are impossible because of the changes in the values of brightness with solar irradiance. In order to estimate the position of clouds from sunrise and sunset area, the brightness data of the image is corrected by Cosine law of illumination. Corrected value is calculated based on the solar irradiance of each area. In IR image, the brightness of equatorial area is different from that of Arctic Circle due to the atmospheric temperature. Brightness data of IR image is corrected by the number of the characteristics calculated by Least squares. This method was used to estimate the GMS images in Japan.
机译:本文提出了一种从地球静止气象卫星(GMS)的VIS图像(可见)和IR图像(红外)估计云的位置的方法。在VIS图像中,某些图像在亮度极低的情况下拍摄的数据不正确。另外,由于随着太阳辐照度的亮度值的变化,不可能估计日出和日落面积。为了从日出和日落区域估计云的位置,图像的亮度数据通过照明的余弦定律进行校正。根据每个区域的太阳辐照度计算校正值。在红外图像中,由于大气温度,赤道区域的亮度与北极圈的亮度不同。 IR图像的亮度数据通过最小二乘法计算的特征数进行校正。该方法用于估计日本的GMS图像。

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