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机构地区:[1]中国农业大学现代精细农业系统集成研究教育部重点试验室,北京100083
出 处:《农业机械学报》2009年第S1期210-213,共4页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家"863"高技术研究发展计划资助项目(2006AA10A302;2008BADA4B02)
摘 要:利用2-CCD多光谱相机设计了近地遥感图像采集平台,同步获取小范围区域作物的可见光和NIR图像,通过图像处理技术从作物图像获得反射光谱信息。采集平台包括一个2-CCD多光谱相机,两个采集盒,一台具有两个千兆网口的田间计算机。图像处理部分通过2G-R-B灰度化、中值滤波和Otsu二值化,从背景中分割出作物图像,结合作物原始R分量灰度图像,提取出作物红光图像平均灰度值,利用建立的灰度值与反射率的线性模型,计算得到作物红光波段的反射率。试验结果表明,图像采集平台工作稳定,利用图像处理方法提取的反射率与ASD光谱仪测量结果有较好相关性,为从作物冠层图像探测生长状况提供了理论依据。An acquiring platform of near-ground remote sensing images is developed to collect visible image and NIR image synchronously and then get the reflectance information from crop images.The platform contains: a 2-CCD multi-spectral camera,two collecting boxes,a field computer with two gigabit net interfaces and an image processing system.First,a true color image of plants is processed with 2G-R-B gray and median filtering algorithm,and the Otsu algorithm is used to separate plants from ground.Then the binary image is returned back to original R gray image and the average gray value of R image is acquired.Finally,using the linear model between reflectance and gray value the reflectance of crop in red waveband is calculated.Test results show that the acquiring platform works well and there exists remarkable correlation between results by above image processing method and that of ASD spectrometer.It provides the theoretical basis for crop status monitoring with digital image processing.
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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