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| 双光谱卫星云图的模糊推理云分类 | |
| 引用本文： | 张韧,王海俊,孙照渤,牛生杰,刘科峰.双光谱卫星云图的模糊推理云分类[J].防灾减灾工程学报,2004,24(3):257-263. |
| 作者姓名： | 张韧 王海俊 孙照渤 牛生杰 刘科峰 |
| 作者单位： | 1. 解放军理工大学气象学院海洋气象系,江苏,南京,211101;南京信息工程大学气象学院,江苏,南京,210044 2. 解放军理工大学气象学院海洋气象系,江苏,南京,211101 3. 南京信息工程大学气象学院,江苏,南京,210044 |
| 基金项目： | 卫星应用课题资助项目(参作气字2002第35号) |
| 摘 要： | 基于观测事实和分类经验,在对卫星云图上云系形态特征定性分析的基础上,采用模糊推理方法,提取出云类识别的诊断判别因子和模糊推理规则。通过对判别因子的模糊化处理和隶属度函数的调制优化,建立了卫星云图定量化的模糊推理云分类模型。4种常见云系的模糊推理分类试验结果表明,模糊推理方法在定量性、客观性和自动化等方面优于传统卫星云图目视判读方法,在卫星遥感资料的分析处理和天气预报等领域有较好的实用意义。 |
| 关 键 词： | 模糊推理 卫星云图 云分类 |
| 文章编号： | 1672-2132(2004)03-0257-07 |
| 修稿时间： | 2004年4月21日 |
Cloud Fuzzy Inference and Classification based on Double-Spectrum Satellite Images |
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| ZHANG Ren,WANG Hai-jun,SUN Zhao-bo,NIU Sheng-jie,LIU Ke-feng Institute of Meteorology,PLA University of Sciences and Technology,Nanjing ,China Institute of Meteorology,Nanjing Information Engineering University,Nanjing ,China.Cloud Fuzzy Inference and Classification based on Double-Spectrum Satellite Images[J].Journal of Disaster Prevent and Mitigation Eng,2004,24(3):257-263. | |
| Authors: | ZHANG Ren WANG Hai-jun SUN Zhao-bo NIU Sheng-jie LIU Ke-feng Institute of Meteorology PLA University of Sciences and Technology Nanjing China Institute of Meteorology Nanjing Information Engineering University Nanjing China |
| Institution: | ZHANG Ren,WANG Hai-jun,SUN Zhao-bo,NIU Sheng-jie,LIU Ke-feng Institute of Meteorology,PLA University of Sciences and Technology,Nanjing 211101,China Institute of Meteorology,Nanjing Information Engineering University,Nanjing 210044,China |
| Abstract: | Based on the observed facts and actual experience as well as the qualitative analysis and diag-noses on the cloud structure characters of satellite images,some judgement factors and fuzzy inference rulesfor classifying cloud were picked-up by using fuzzy inference method with fuzzy/defuzzy treatment on thejudgement factors and optimization adjustment on the membership functions,a quantitative fuzzy inferencemodel for classifying cloud of satellite images was established. The results of 4 kinds of common cloud'sfuzzy inference classification experiments show that the fuzzy inference method is superior to traditionaldiscriminance in the aspect of quantification, objectivity and automatization,which promises to be appliedin the fields of satellite remote sensing data treatment and weather forecast. |
| Keywords: | fuzzy inference satellite image cloud classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |