本研究以位於太平區山坡地的研究區UAV 影 像，透過eCognition 的影像分割後進行作物分類，
研究結果證明，利用UAV 輔助臺灣山坡地的作物 分類，因臺灣特殊的作物種植方式，仍有其限制。
但UAV 所帶來的超高空間解析度影像能使得部分 作物較容易區分，而配合eCognition 的影像分割後，
可以減緩超高空間解析度所帶來的資訊過多及鹽 椒效應，因此，UAV 在輔助臺灣山坡地的作物調 查上雖仍有許多限制，但可配合改善方式提高優勢。
但在分類過程中，龍眼和荔枝在空間解析度已 達6.11 cm 的 UAV 影像上，仍無法有效的對兩個 品種進行區分，導致本研究將龍眼和荔枝兩者合併 為同一個類別，但仍沒有解決兩個作物無法區分之 問題，而研究人員與農民訪談完後發現，龍眼和荔 枝之花期不同，荔枝花期較早，約於 2 至 3 月開 花，而龍眼花期較晚，約於4 至 5 月開花，兩者皆 花開於樹冠頂，使樹冠呈現白斑，可於一個作物有 開花而另一個作物未開花之時間點進行空拍，利用
UAV 影像中利用光譜進行區分。因此未來對於此
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1 Associate Professor, Department of Land Management, Feng-Chia University Received Date: Jul. 17, 2018
2 Research Assistant, Department of Land Management, Feng-Chia University Revised Date: Apr. 14, 2018
3 Research Assistant, Department of Land Management, Feng-Chia University Accepted Date: Nov. 02, 2018
* Corresponding Author, E-mail: [email protected]