應用UAV影像於山坡地作物判釋之探討

Utilizing Unmanned Aerial Vehicle Images to Interpret Crop Types in the Hillside Area

10.6574/JPRS.201812_23(4).0002

李瑞陽(Re-Yang Lee)；歐鐙元(Dang-Yuan Ou)；徐嘉徽(Chia-Hui Hsu)

無人飛行載具 ； 多尺度分割 ； 物件導向 ； Unmanned Aerial Vehicle (UAV) ； Multi-scale Segmentation ； Object-oriented

航測及遙測學刊

23卷4期（2018 / 12 / 01）

245 - 256

繁體中文

本研究探討UAV (Unmanned Aerial Vehicle)於臺灣山區作物分類時，可帶來效益及面臨的問題。首先利用無人機(UAV)取得臺中太平區的正射鑲嵌影像，接著運用eCognition軟體中的多尺度分割功能對影像進行物件分割，然後判釋分割區塊內之作物。因研究區內的「龍眼荔枝」類別與樹林難以有效區分，無法自動化分類，因此本研究針對分割後之影像區塊進行人工判釋，正確率分別在「龍眼荔枝」為88.2%、「樹林」為96.5%、「苗圃」為96.8%、及「其他」為99.7%。最後本研究提出透過不同時期影像，以龍眼與荔枝不同的花期進行區分，以及利用影像分割區塊進行地真資料蒐集的效率等建議，供後續相關研究參考。

The purpose of this study is to explore the benefits and problems by using UAV images in the crop classification of slope areas in Taiwan. We first made use of UAV to obtain the mosaic orthoimage in the hillside of Taizhong Taiping District. The eCognition multi-scale segmentation was then utilized to create image blocks. The crop types in the research area were then interpreted in an object-oriented manner. Because the category of ＂Longan (Dimocarpus longan) and Litchi (Litchi chinensis)＂ in the research area was difficult to distinguish effectively with the forest, which led to the difficulty of automatic classification, this study adopted artificial interpretation. The classification accuracies indicated that ＂Longan (Dimocarpus longan) and Litchi (Litchi chinensis)＂ was 88.2%, forest was 96.5%, nursery was 6.8%, and others was 99.7%. Finally, this study suggests to differentiate Longan (Dimocarpus longan) and Litchi (Litchi chinensis) using different flowering stages and to improve the efficiency of field data collection using segmentation blocks for subsequent research.

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