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Automatic vegetation identification in Google Earth images using a convolutional neural network: A case study for Japanese bamboo forests
Shuntaro Watanabe, Kazuaki Sumi, Takeshi Ise
doi: https://doi.org/10.1101/351643
Shuntaro Watanabe
1Field Science Education and Research Center (FSERC), Kyoto University, Kitashirakawaoiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan
Kazuaki Sumi
2Graduate School of Agriculture, Kyoto University, Kitashirakawaoiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan
Takeshi Ise
1Field Science Education and Research Center (FSERC), Kyoto University, Kitashirakawaoiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan
3PRESTO, Japan Science and Technology Agency, 7 Goban-cho, Chiyoda-ku, Tokyo 102-0076, Japan
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Posted November 07, 2018.
Automatic vegetation identification in Google Earth images using a convolutional neural network: A case study for Japanese bamboo forests
Shuntaro Watanabe, Kazuaki Sumi, Takeshi Ise
bioRxiv 351643; doi: https://doi.org/10.1101/351643
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