CLOUD EXTRACTION FROM POLAR SATELLITE DATA USING MODIFIED MAHALANOBIS CLASSIFIER

• KUBO Mamoru

  Faculty of Engineering, Kanazawa University

• SAITO Hideo

  Faculty of Engineering, Kanazawa University

• MURAMOTO Kenichiro

  Faculty of Engineering, Kanazawa University

• YAMANOUCHI Takashi

  National Institute of Polar Research

抄録

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.

収録刊行物

• Polar meteorology and glaciology

  Polar meteorology and glaciology 12 97-103, 1998-11

  国立極地研究所

詳細情報

• CRID: 1571417126875864448
• NII論文ID: 110001068154
• NII書誌ID: AA1129795X
• ISSN: 13443437
• 本文言語コード: en
• データソース種別:
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