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首页> 外文会议>Proceedings of 4th IEEE International Conference on Applied System Invention >Recognization of rice damage area on UAV ortho-images
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Recognization of rice damage area on UAV ortho-images

机译：在无人机正射影像上识别水稻受损区域

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The following research uses Yuanli Township, Miaoli County as an example. The Multi-spectral UAV aerial images used have high spectral, spatial and temporal definition, which provides High-resolution DEM, which can be applied through height bias to recognize the rice damage Range and type. Furthermore, due to the chlorophyll in the crops having higher NIR reflection, when applied with NDVI, the crop growth range and stadium can be clearly explained more easily. The image processing technique is done by Pix4D and e-GPS measure Ground Control Points to produce a RGB Orthomosaic and NIR Orthomosaic, then using Arc gis to produce interpretation attribute data which is then derived through MATLAB input range values. The result of rice damage will be interpretated by using NDVI images as a major factor and human judgement as a supporting factor.
机译：以下研究以苗栗县原里乡为例。所使用的多光谱无人机航拍图像具有高光谱，空间和时间清晰度，可提供高分辨率DEM，可通过高度偏差应用它来识别水稻的危害范围和类型。此外，由于农作物中的叶绿素具有较高的近红外反射率，因此当与NDVI配合使用时，可以更容易地清楚地解释农作物的生长范围和运动场。图像处理技术是通过Pix4D和e-GPS测量地面控制点来生成RGB正射影像和NIR正射影像，然后使用Arc gis生成解释属性数据，然后通过MATLAB输入范围值得出的。稻米破坏的结果将以NDVI图像为主要因素，以人为判断为依据来解释。

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