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机译:利用无人机多光谱成像技术检测蜘蛛螨侵染棉的两阶段分类方法
South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China;
South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China;
South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China;
South China Agr Univ, Coll Elect Engn, Guangzhou, Guangdong, Peoples R China;
Natl Ctr Int Collaborat Res Precis Agr Aviat Pest, Guangzhou, Guangdong, Peoples R China;
Natl Ctr Int Collaborat Res Precis Agr Aviat Pest, Guangzhou, Guangdong, Peoples R China;
Natl Ctr Int Collaborat Res Precis Agr Aviat Pest, Guangzhou, Guangdong, Peoples R China;
Xinjiang Jiangtian Aerial Sci & Technol Co, Shihezi, Peoples R China;
South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China;
South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China;
机译:通过多光谱,多尺度无人机图像鉴定红斑病叶枯病棉花疾病感染水平
机译:使用双级检测改善多级EEG电机图像分类,与一种方法
机译:通过融合基于UAV的LIDAR数据和3D深神经网络PointNet ++的多光谱图像来分类树种和站立死树
机译:用于多光谱图像的图像分类,目标自动检测和识别的通用自适应方法
机译:棉上两斑叶螨的早期季节管理以及侵染时间对棉花单产损失的影响。
机译:基于多光谱遥感影像的土地覆盖自动分类有效关键参数确定
机译:MultiSpectral,MultiScale UAV Imagery rusularia叶片枯萎棉疾病感染水平
机译:用全色图像代替多光谱图像进行水中海带检测