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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Combining Orientation Symmetry and LM Cues for the Detection of Citrus Trees in Orchards From a Digital Surface Model
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Combining Orientation Symmetry and LM Cues for the Detection of Citrus Trees in Orchards From a Digital Surface Model

机译:结合方向对称和LM线索从数字表面模型中检测果园中的柑桔树

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摘要

This letter proposes a new approach for the automated detection of citrus trees from a single digital surface model (DSM) input. The new approach combines orientation symmetry information and local maxima cues in a probabilistic manner. Experiments are performed on eight test DSMs generated from unmanned aerial vehicle (UAV) images, and the results reveal that the new approach is capable of detecting citrus trees with a high success (overall$F_{1}$-score of 92.5%). The performance of our approach is also compared with leading approaches from the literature and from our own previous work and provided superior or comparable results.
机译:这封信提出了一种从单一数字表面模型(DSM)输入自动检测柑橘树的新方法。新方法以概率方式结合了方向对称性信息和局部最大值。对从无人机(UAV)图像生成的八个测试DSM进行了实验,结果表明该新方法能够成功检测柑橘树(总体 n $ F_ {1} $ n分数为92.5 %)。我们的方法的性能也与文献和我们以前的工作中的领先方法进行了比较,并提供了卓越或可比的结果。

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