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- SONOBE Rei
- Graduate School of Agriculture, Hokkaido University / JSPS
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- TANI Hiroshi
- Research Faculty of Agriculture, Hokkaido University
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- WANG Xiufeng
- Research Faculty of Agriculture, Hokkaido University
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- KOBAYASHI Nobuyuki
- Hokkaido Intellect Tank
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- SHIMAMURA Hideki
- PASCO Corporation
Bibliographic Information
- Other Title
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- TerraSAR-Xによる北海道十勝地方における作付作物の分類
- TerraSAR-X ニ ヨル ホッカイドウ トカチ チホウ ニ オケル サクツケ サクモツ ノ ブンルイ
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Abstract
This paper describes the classification of agricultural land use based on multi-temporal TerraSAR-X images taken during the vegetation season in Tokachi District, Hokkaido. Support Vector Machine (SVM) is becoming a popular alternative to traditional image classification methods because it performs accurate classifications using small training samples. Nevertheless, some parameter tunings are required. Thereby the approach was adopted after retrieving the most appropriate parameters in this study.<br>Using the sixteen TerraSAR-X images acquired between May 2 and November 5, 2009, the overall accuracies for all classes are 92.9% and 91.7% for HH and VV polarization respectively. In addition, the almost perfect agreements (κ>0.80) were achieved by using the 4 scenes (acquired on June 4, June 26, July 7 and July 18) for both polarizations. However, more scenes (6 scenes for HH, 8 scenes for VV) were required in order to discriminate maize fields.
Journal
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- Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering
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Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering 82 (3), 141-146, 2014
The Japanese Society of Irrigation, Drainage and Rural Engineering
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Details 詳細情報について
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- CRID
- 1390001205289873280
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- NII Article ID
- 130005084214
- 220000165086
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- NII Book ID
- AA12240517
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- ISSN
- 18847242
- 18822789
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- NDL BIB ID
- 025625229
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed