著者
Hidehiko MURATA Kotaro SAITOH Yasuhiko SUMIDA
出版者
Meteorological Society of Japan
雑誌
気象集誌. 第2輯 (ISSN:00261165)
巻号頁・発行日
vol.96B, pp.211-238, 2018 (Released:2018-11-15)
参考文献数
22
被引用文献数
10 12

The combination of three visible bands of the Advanced Himawari Imager (AHI) aboard Japan Meteorological Agency's (JMA) new-generation Himawari-8 and Himawari-9 geostationary meteorological satellites enables the production of true color imagery. True color is intuitively understandable to human analysts and beneficial for monitoring surface and atmospheric features. It is particularly useful when applied to frequent observations from a geostationary platform. In this article, we report on an application of a color reproduction approach based on the International Commission on Illumination (CIE) 1931 XYZ color system to imagery rendering. This approach allows the consideration of primary color (RGB) differences among satellite and output devices, which in turn cause differences in the colors reproduced. The RGB signals observed by the AHI are converted to XYZ tristimulus values, which are independent of the devices themselves, and then reconverted to RGB signals for output devices via the application of 3 × 3 conversion matrices. This article also covers an objective technique for the evaluation of the accuracy of XYZ values. The evaluation indicated that the combination of AHI native RGB bands is suboptimal for obtaining XYZ values as is, whereas a combination in which the green band is replaced by a pseudo band with a central wavelength of around 0.555 μm is optimal. The pseudo band is generated via regression with existing visible and near-infrared bands as predictor variables. The imagery produced using this approach was termed True Color Reproduction (TCR). This approach is applicable to other satellites that have several bands in the visible to near-infrared spectral range, and it has the potential for development toward the production of standardized sensor-independent true color imagery.

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2) The True Color reproduction imagery for Himwari which also maps the satellite data to the CIE XYZ system, though I don't quite understand yet how they derived their calibration coefficients. https://t.co/qoAJmqeWJd
@brloveday @HayleyEversKing @stim3on @rsimmon @HarelDan @BBCAmos @mouthofmorrison Have you seen this paper? https://t.co/lT3x3IbvG8 It tries to come up with a decent approximation of what the human eye would see from Himawari imagery - works quite well! (also in satpy, generalised to all the GEO sensors!)

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