Cloud Classification by using Multi-spectral GMS Imagery and Comparison with Surface Cloud Observation

摘要

In order to realize cloud classification in all-time, all the spectral information of GMS-5 satellite imagery has been exploited and made full use of in this paper. 2D-5D maximum likelihood algorithm was respectively used to experimental research on cloud classification of multi-spectral GMS imagery. In contrast with 415 surface cloud observation records in analysis region at 0800 local time, July 21,1998 , if these cloud reports are strictly regarded as true, the mean accuracy of 15 kinds of 2D-5D cloud classification results is 64.9%. After the similarities and differences of satellite observation and surface cloud observation were surveyed, this paper points out that it is not completely right and reasonable that the results of cloud classification are distinguished between right and wrong absolutely according to surface cloud observation. Because the visual cloud observation from bottom to up on the ground is inevitably unilateral, the two results of different observation is sometimes hard to compare directly, contrasted the visual field observation from up to bottom of satellite.