Presentation | 2006-07-14 Winter Season Cloud Classification Using Self-Organizing Map Tuomas KARNA, Mamoru KUBO, Ken-ichiro MURAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | 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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Satellite Images / AVHRR / Principal Component Analysis / Self-Organizing Map / Image Clustering |
Paper # | IE2006-29,MVE2006-35 |
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Conference Information | |
Committee | MVE |
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Conference Date | 2006/7/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Winter Season Cloud Classification Using Self-Organizing Map |
Sub Title (in English) | |
Keyword(1) | Satellite Images |
Keyword(2) | AVHRR |
Keyword(3) | Principal Component Analysis |
Keyword(4) | Self-Organizing Map |
Keyword(5) | Image Clustering |
1st Author's Name | Tuomas KARNA |
1st Author's Affiliation | Department of Electrical and Communications Engineering, Helsinki University of Technology:Graduate School of Natural Science and Technology, Kanazawa University() |
2nd Author's Name | Mamoru KUBO |
2nd Author's Affiliation | Graduate School of Natural Science and Technology, Kanazawa University |
3rd Author's Name | Ken-ichiro MURAMOTO |
3rd Author's Affiliation | Graduate School of Natural Science and Technology, Kanazawa University |
Date | 2006-07-14 |
Paper # | IE2006-29,MVE2006-35 |
Volume (vol) | vol.106 |
Number (no) | 158 |
Page | pp.pp.- |
#Pages | 5 |
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