| 多波段卫星遥感云图识别 |
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| 引用本文： | 李立群,周学立,王润生. 多波段卫星遥感云图识别[J]. 遥感技术与应用, 1998, 13(2): 27-31. DOI: 10.11873/j.issn.1004-0323.1998.2.27 |
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| 作者姓名： | 李立群 周学立 王润生 |
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| 作者单位： | (国防科技大学 长沙 410073) |
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| 摘 要： | 介绍了利用4波段卫星云图对8类云进行分类的方法,包括建立输入云图样本库,构造测量量进行特征提取与特征层融合,构造表述模型,建立特征分类树。由于所研究的对象云为非刚体,存在不稳定性,加大了正确分类的难度,其分类方法与刚体目标的分类方法也存在一定的差异;又由于输入为8类4波段云图,因此我们不但获取了各类云图单波段上的特征,而且组合了它们在不同单波段上的特征,进行特征层融合。
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| 关 键 词： | 测量 特征提取 分类树 模糊决策 表述模型 特征融合 |
| 收稿时间： | 1997-07-07 |
| 修稿时间： | 1997-07-07 |
Recognition of Remote Sensing Images of Multiband Satellites |
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| Li Liqun,ZHOU Xueli,Wang Runsheng. Recognition of Remote Sensing Images of Multiband Satellites[J]. Remote Sensing Technology and Application, 1998, 13(2): 27-31. DOI: 10.11873/j.issn.1004-0323.1998.2.27 |
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| Authors: | Li Liqun ZHOU Xueli Wang Runsheng |
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| Affiliation: | (National University ofDefense Technology,Changsha410073) |
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| Abstract: | An automatic classifiction method for multi-bands clouds images of satellites is presented,it consists of collecting clouds images samples,selecting measurements for features,constructing representing models and classification trees.In order to bring down the difficultities for classification and reconition of clouds images,the non rigid bodies,we not only use the single band features of clouds images,but also conducting features fusion to get more information.Using this method,we identify automatically eight classes of clouds images successfully. |
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| Keywords: | Measurements Feature extraction Classification tree Fussy desicion Represention models Fetures fusion |
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