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Classification of clouds in the Japan Sea area using NOAA AVHRR satellite images and self-organizing map
http://hdl.handle.net/2297/9570
http://hdl.handle.net/2297/95703da536ab-0ab3-475d-b42b-229dc4cbfbd1
名前 / ファイル | ライセンス | アクション |
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TE-PR-KUBO-M-2056.pdf (317.8 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2017-10-03 | |||||
タイトル | ||||||
タイトル | Classification of clouds in the Japan Sea area using NOAA AVHRR satellite images and self-organizing map | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
Kubo, Mamoru
× Kubo, Mamoru× Muramoto, Ken-ichiro |
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提供者所属 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 金沢大学大学院自然科学研究科知能情報・数理 | |||||
書誌情報 | p. 2056-2059, 発行日 2008-01-01 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1109/IGARSS.2007.4423236 | |||||
出版者 | ||||||
出版者 | Institute of Electrical and Electronics Engineers (IEEE) | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | This paper introduces a method for cloud classification using NOAA AVHRR satellite images. AVHRR (Advanced Very High Resolution Radiometer) data consists of five-channel multi-spectral images. To reduce the dimensionality of the data, principal component analysis (PCA) is calculated for each channel separately. The most significant principal component values are then composed into an image feature vector. Finally, the feature vectors are clustered using self-organizing map (SOM). This method is applied for the study of winter season clouds in the Japan Sea area. © 2007 IEEE. | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
シリーズ | ||||||
関連名称 | 4423236 |