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北海道大学大学院農学研究院邦文紀要 = Memoirs of the Research Faculty of Agriculture, Hokkaido University >
Vol. 34, No. 2 >


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Title: TerraSAR-Xデータを使用したランダムフォレストによる作付作物の分類
Other Titles: Crop classification by random forest using TerraSAR-X data
Authors: 山谷, 祐貴1 Browse this author
薗部, 礼2 Browse this author
谷, 宏3 Browse this author →KAKEN DB
王, 秀峰4 Browse this author →KAKEN DB
小林, 伸行5 Browse this author
望月, 貫一郎6 Browse this author
Authors(alt): Yamaya, Yuki1
Sonobe, Rei2
Tani, Hiroshi3
Wang, Xiufeng4
Kobayashi, Nobuyuki5
Mochizuki, Kan-ichiro6
Keywords: ランダムフォレスト
Issue Date: 30-Mar-2017
Publisher: 北海道大学大学院農学研究院
Journal Title: 北海道大学大学院農学研究院邦文紀要
Journal Title(alt): Memories of the Research Faculty of Agriculture, Hokkaido University
Volume: 34
Issue: 2
Start Page: 1
End Page: 11
Abstract: This paper presents crop classification using satellite data to establish a mapping method in place of the existing ground survey. We calculated four variables of sigma naught, and polarimetric parameters from TerraSAR-X HH-VV dual-polarization data, and assessed the accuracy of classification performed by machine learning algorithm “Random Forest”. The result showed about 90% of accuracy when we used five dates’ imagery and four variables, respectively. And accuracy assessment was done under the condition when the number of variables or scenes was reduced. The accuracy became worse when the number of variables was reduced, but it can be maintained when the number of dates was reduced, thus these results confirm that crop classification with the lower cost will become possible.
Type: bulletin (article)
Appears in Collections:北海道大学大学院農学研究院邦文紀要 = Memoirs of the Research Faculty of Agriculture, Hokkaido University > Vol. 34, No. 2

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