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Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application
被引:3
作者:
李俊
周凤仙
王路易
机构:
[1] Academia Sinica
[2] Beijing 100029
[3] Institute of Atmospheric Physics
关键词:
VIS;
GMS;
D O I:
暂无
中图分类号:
学科分类号:
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-Coding technique. It is helpful for data archive and remote transmission.
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页码:458 / 464
页数:7
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