机译:基于CNN方法监测低空UAV图像的沥青路面老化和损坏条件
Institute of Remote Sensing and Geographic Information Systems Peking University 5 Summer Palace Road Beijing 100871 China China Academy of Electronics and Information Technology 11 Shuangyuan Road Beijing 100041 China;
Institute of Remote Sensing and Geographic Information Systems Peking University 5 Summer Palace Road Beijing 100871 China;
Institute of Remote Sensing and Geographic Information Systems Peking University 5 Summer Palace Road Beijing 100871 China;
Institute of Remote Sensing and Geographic Information Systems Peking University 5 Summer Palace Road Beijing 100871 China;
机译:使用更快的R-CNN从低空无人机图像进行汽车检测
机译:利用深层CNN和IRS方法从GPR数据自动检测沥青路面的水分破坏
机译:一种CNN方法,同时计算植物并从UAV Imager侦察植物行
机译:高温条件下半刚性基沥青路面损伤研究
机译:夏威夷树种类的无人机图像:MLC,RF和CNN监督分类的比较
机译:基于拉普拉斯金字塔的图像处理和混合计算方法对沥青路面裂缝进行分类
机译:高温条件下半刚性基沥青路面损伤研究
机译:基于物理的预测沥青路面对水分损伤敏感性的模型