CLOUD EXTRACTION FROM POLAR SATELLITE DATA USING MODIFIED MAHALANOBIS CLASSIFIER
スポンサーリンク
概要
- 論文の詳細を見る
In the polar region, it is difficult to discriminate between clouds and ground surface from satellite visible or infrared data, because of the high albedo and low surface temperature of snow and ice cover. In addition, since the latitude is high, visible channels cannot be used during winter. In this paper, a method to extract clouds using only NOAA/AVHRR channel 4 is proposed. Using geographical information, the AVHRR image was first segmented into two regions : sea and land. Afterward, cloud extraction was performed for each region separately by minimum distance classifier using image features. To improve the error rate of the classification, we apply thresholds to the discriminant function used by the Mahalanobis classifier.
- 国立極地研究所の論文
著者
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Muramoto Ken'ichiro
Faculty Of Engineering Kanazawa University
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Yamanouchi Takashi
National Institute For Polar Research
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Kubo Mamoru
Toyama National College Of Technology
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KUBO Mamoru
Faculty of Engineering, Kanazawa University
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SAITO Hideo
Faculty of Engineering, Kanazawa University
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MURAMOTO Kenichiro
Faculty of Engineering, Kanazawa University
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Yamanouchi T
Graduate Univ. Advanced Studies Tokyo
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Saito Hiroaki
Faculty Of Engineering Kanazawa University
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Yamanouchi Takashi
National Inst. Of Polar Res. And Dep. Of Polar Sci. The Graduate Univ. For Advanced Studies 10-3 Mid
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Saito Hideo
Faculty Of Engineering Tohoku Gakuin University
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Saito Hiroaki
Graduate School Of Natural Science And Technology Kanazawa University
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