| Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application |
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| 引用本文： | Li Jun,Zhou Fengxian,Wang Luyi. Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application[J]. 大气科学进展, 1992, 9(4): 458-464 |
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| 作者姓名： | Li Jun Zhou Fengxian Wang Luyi |
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| 作者单位： | Institute of Atmospheric Physics，Academia Sinica，Beijing 100029，Institute of Atmospheric Physics，Academia Sinica，Beijing 100029，Institute of Atmospheric Physics，Academia Sinica，Beijing 100029 |
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| 摘 要： | The Bayes Decision method (BD) has been implemented on GMS Stretched VISSR (S.VISSR) images. Several objects are identified. These are earth’s surface, stratiform, convective and cirrus clouds. Overlaid 6-hour surface rainfall observations show that the rain area on the ground matches with precipitable cloud area identified by BD method. Finally the data of classified image are compressed to about one-eighth amount by use of Line-Run-Cod-ing technique. It is helpful for data archive and remote transmission.
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Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application |
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| Li Jun,Zhou Fengxian and Wang Luyi. Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application[J]. Advances in Atmospheric Sciences, 1992, 9(4): 458-464 |
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| Authors: | Li Jun Zhou Fengxian Wang Luyi |
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| Affiliation: | Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029 |
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