Presentation | 2003/3/6 Automatic Satellite Image Segmentation Using Topology of Data Yukimasa OKADA, Yuji WAIZUMI, Nei KATOt, Yoshiaki NEMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method for an automatic satellite image segmentation, which utilizes data distribution patterns in multi-dimensional feature space, cloud pixels in particular. The algorithm of the proposed method mainly consists of k-means method and Competitive Hebbian Learning to preserve a topology of data in the feature space. To demonstrate a validity of the proposed method, we apply several satellite image data to the method. The result clearly shows that extraction of cloud pixels is possible with high accuracy. In addition, our proposed method identifies high and low cloud pixels, and snow pixels in satellite image data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Segmentation / Remote Sensing / Competitive Hebbian Learning / Topology Preserving Map |
Paper # | PRMU2002-224 |
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Committee | PRMU |
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Conference Date | 2003/3/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Automatic Satellite Image Segmentation Using Topology of Data |
Sub Title (in English) | |
Keyword(1) | Segmentation |
Keyword(2) | Remote Sensing |
Keyword(3) | Competitive Hebbian Learning |
Keyword(4) | Topology Preserving Map |
1st Author's Name | Yukimasa OKADA |
1st Author's Affiliation | Graduate School of Information Sciences, TOHOKU University() |
2nd Author's Name | Yuji WAIZUMI |
2nd Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
3rd Author's Name | Nei KATOt |
3rd Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
4th Author's Name | Yoshiaki NEMOTO |
4th Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
Date | 2003/3/6 |
Paper # | PRMU2002-224 |
Volume (vol) | vol.102 |
Number (no) | 707 |
Page | pp.pp.- |
#Pages | 6 |
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