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Classification of polar satellite data using minimum distance method
https://nipr.repo.nii.ac.jp/records/2320
https://nipr.repo.nii.ac.jp/records/23205f28b1a8-4768-4c48-9973-9947e5acee2b
名前 / ファイル | ライセンス | アクション |
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KJ00000012872 (1.2 MB)
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Item type | 紀要論文(ELS) / Departmental Bulletin Paper(1) | |||||
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公開日 | 1998-07-01 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Classification of polar satellite data using minimum distance method | |||||
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_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
ページ属性 | ||||||
内容記述タイプ | Other | |||||
内容記述 | P(論文) | |||||
著者名(英) |
Muramoto, Ken'ichiro
× Muramoto, Ken'ichiro× Kubo, Mamoru× Saito, Hideo× Yamanouchi, Takashi |
|||||
著者所属(英) | ||||||
en | ||||||
Faculty of Engineering, Kanazawa University/Toyama National College of Technology/Faculty of Engineering, Kanazawa University/National Institute of Polar Research | ||||||
抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Detection of Antarctic clouds is important because of their strong radiation influence on energy balance of the snow and ice surface. In this paper, a method to classify cloud, sea ice and ground is proposed. This study is based upon analysis of the NOAA/AVHRR infrared images in Antarctica. The algorithm consists of two major approaches : extraction of image features and a classification algorithm. A minimum distance classifier was used to classify that region into one of three categories using five image features. To reduce the error rate of the classification, threshold boundaries for minimum distance classifiers have been changed. Both classified and misclassified areas were decreased with increased threshold levels. | |||||
雑誌書誌ID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA00733561 | |||||
書誌情報 |
Memoirs of National Institute of Polar Research. Special issue 巻 52, p. 149-157, 発行日 1998-07 |