摘要
We describe how the Unit-Feature Spatial Classification Method(UFSCM) can be used operationally to classify cloud types in satellite imagery efficiently and conveniently.By using a combination of Interactive Data Language(IDL) and Visual C++(VC) code in combination to extend the technique in three dimensions(3-D),this paper provides an efficient method to implement interactive computer visualization of the 3-D discrimination matrix modification,so as to deal with the bi-spectral limitations of traditional two dimensional(2-D) UFSCM.The case study of cloud-type classification based on FY-2C satellite data (0600 UTC 18 and 0000 UTC 10 September 2007) is conducted by comparison with ground station data, and indicates that 3-D UFSCM makes more use of the pattern recognition information in multi-spectral imagery,resulting in more reasonable results and an improvement over the 2-D method.
We describe how the Unit-Feature Spatial Classification Method（UFSCM） can be used operationally to classify cloud types in satellite imagery efficiently and conveniently.By using a combination of Interactive Data Language（IDL） and Visual C＋＋（VC） code in combination to extend the technique in three dimensions（3-D）,this paper provides an efficient method to implement interactive computer visualization of the 3-D discrimination matrix modification,so as to deal with the bi-spectral limitations of traditional two dimensional（2-D） UFSCM.The case study of cloud-type classification based on FY-2C satellite data （0600 UTC 18 and 0000 UTC 10 September 2007） is conducted by comparison with ground station data, and indicates that 3-D UFSCM makes more use of the pattern recognition information in multi-spectral imagery,resulting in more reasonable results and an improvement over the 2-D method.
基金
supported by the National Natural Science Foundation of China(Grant No.40875012)
the National Basic Research Program of China(Grant No.2009CB421502)
the Meteorology Open Fund of Huaihe River Basin(HRM200704).
