Presentation | 2004/5/21 AdaBoost-Based Classification of Multifrequency Polarimetric Speckled SAR Images Shohei NAKAMURA, Seisuke FUKUDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Boosting is a method of pattern recognition that executes ensemble learning by combining simple rules. Even when performing a complicated classification, Boosting dose not suffer increase in computation time and degradation of generalization by updating weights of each learner. In the classification of synthetic aperture radar (SAR) images, fluctuation of features due to speckle noise sometimes reduces classification accuracy. In this paper, we have performed land cover classification of multifrequency polarimetric SAR images robust against speckle using the AdaBoost algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Boosting / Speckle / SAR / Multilook / Image Classification / Generalization |
Paper # | SANE2004-17 |
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Committee | SANE |
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Conference Date | 2004/5/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Space, Aeronautical and Navigational Electronics (SANE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | AdaBoost-Based Classification of Multifrequency Polarimetric Speckled SAR Images |
Sub Title (in English) | |
Keyword(1) | Boosting |
Keyword(2) | Speckle |
Keyword(3) | SAR |
Keyword(4) | Multilook |
Keyword(5) | Image Classification |
Keyword(6) | Generalization |
1st Author's Name | Shohei NAKAMURA |
1st Author's Affiliation | Musashi Institute of Technology() |
2nd Author's Name | Seisuke FUKUDA |
2nd Author's Affiliation | Japan Aerospace Exploration Agency Institute of Space and Astronautical Science |
Date | 2004/5/21 |
Paper # | SANE2004-17 |
Volume (vol) | vol.104 |
Number (no) | 97 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |