1A1-H03 小型自律飛行ロボットを用いた機械学習による植生分類図作成(農業用ロボット・メカトロニクス)

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  • 1A1-H03 Vegetation Classification using Machinery Learning with a Small UAV(Robotics and Mechatronics in Agriculture)

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This paper proposes a novel vegetation classification method using an airborne imagery obtained by the small unmanned aerial vehicle (UAV). A conventional method used in the vegetation classification uses the value of reflected intensity in airborne images obtained by airplanes and satellites. However, it is difficult to classify the type of vegetations because of the restriction of the image resolution. The small UAV can fly at low attitude, it can obtain a high resolution airborne imagery. The proposed method aims to make a vegetation classification map using the texture analysis and Adaboost machinery learning. We use the texture, color, and NDVI (Normalized Difference Vegetation Index) calculated from airborne imagery as the classification features. From the result of classification test, we concluded that proposed method is effective to classify the type of vegetation using a small UAV.

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