基于低空无人机遥感技术的油菜机械直播苗期株数识别

植株数量识别是油菜机械直播效果和质量评估的关键。该文针对油菜机械直播田间植株数量检测中人工统计耗时、费工、效率低下的现实,通过自主搭建的低空无人机遥感平台采集油菜机械直播区域的遥感影像,基于超高分辨率（0.18 cm/pixel）遥感影像计算的颜色植被指数进行油菜目标识别及其形态特征信息提取。结合田间调查数据,采用逐步回归分析方法,建立了机械直播油菜在苗期的株数与遥感特征信息之间的关系。结果显示,油菜目标的株数与其外接矩形的长宽比、像素分布密度和周长栅格数具有较好的线性关系,回归模型的决定系数R-2为0.803,并通过显著性检验,其标准估计误差为0.699。模型检验结果显示,观测值与预测值之间...

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Bibliographic Details
Published in农业工程学报 Vol. 33; no. 19; pp. 115 - 123
Main Author 赵必权 丁幼春 蔡晓斌 谢静 廖庆喜 张建
Format Journal Article
LanguageChinese
Published 农业部长江中下游耕地保育重点实验室,武汉 430070%华中农业大学工学院,武汉,430070%中国科学院测量与地球物理研究所,武汉,430077%华中农业大学理学院,武汉,430070 2017
华中农业大学资源与环境学院,武汉 430070
Subjects
多元回归
无人机
机械直播
株数
模型
油菜
遥感
多元回归
models
unmanned aerial vehicles
mechanical planting
模型
无人机
remote sensing
plant number
遥感
机械直播
株数
油菜
rape
multiple regression
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2017.19.015

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Summary:植株数量识别是油菜机械直播效果和质量评估的关键。该文针对油菜机械直播田间植株数量检测中人工统计耗时、费工、效率低下的现实,通过自主搭建的低空无人机遥感平台采集油菜机械直播区域的遥感影像,基于超高分辨率（0.18 cm/pixel）遥感影像计算的颜色植被指数进行油菜目标识别及其形态特征信息提取。结合田间调查数据,采用逐步回归分析方法,建立了机械直播油菜在苗期的株数与遥感特征信息之间的关系。结果显示,油菜目标的株数与其外接矩形的长宽比、像素分布密度和周长栅格数具有较好的线性关系,回归模型的决定系数R-2为0.803,并通过显著性检验,其标准估计误差为0.699。模型检验结果显示,观测值与预测值之间的R-2为0.809,均方根误差RMSE为0.728。研究结果表明,利用集成超高分辨率传感器的低空无人机遥感平台,通过计算颜色植被指数并分析油菜目标数量与形态特征的相关性,能有效识别油菜机械直播的出苗株数,可为后续油菜机械直播效果的快速、准确评估提供技术支持。
Bibliography:Identification of plant number of rape seedlings is the key to evaluating effect and quality of mechanical planting. In terms of the long-lasting and inefficient manual statistics in plant quantity detection of rape seedlings planted mechanically, this article explored a new means to automatically identify the number by a low altitude unmanned aerial vehicles （UAV） remote sensing system with ultra-high resolution. A color vegetation index, excess green - excess red （ExG-ExR）, was chosen for image segmentation which was performed by Otsu algorithm. The features of rape plant like spectral and shape information were extracted after image segmentation. Combined with the field survey data, the research applied stepwise multiple regression analysis to build the relationship between the plant number of rape seedlings and features. The low altitude UAV used in research was integrated with an ultra-high resolution sensor, Nikon D800, an FX-format digital single lens reflex （DSLR） camera with effective pixel count of
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2017.19.015