caa a22 4500 46908443X CHVBK 20180323133000.0 cr unu---uuuuu 170328e19921201xx s 000 0 eng 10.1007/BF02677078 doi (NATIONALLICENCE)springer-10.1007/BF02677078 Automatic classification and compression of GMS cloud imagery in heavy rainfall monitoring application [Elektronische Daten] [Jun Li, Fengxian Zhou, Luyi Wang] 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. Advances in Atmospheric Sciences, 1992 Li Jun Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut Zhou Fengxian Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut Wang Luyi Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut Advances in Atmospheric Sciences Science Press 9/4(1992-12-01), 458-464 0256-1530 9:4<458 1992 9 376 https://doi.org/10.1007/BF02677078 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02677078 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Jun Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut NATIONALLICENCE 700 1- Zhou Fengxian Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut NATIONALLICENCE 700 1- Wang Luyi Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut NATIONALLICENCE 773 0- Advances in Atmospheric Sciences Science Press 9/4(1992-12-01), 458-464 0256-1530 9:4<458 1992 9 376 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer