Light detection and ranging(LiDAR)sensors play a vital role in acquiring 3D point cloud data and extracting valuable information about objects for tasks such as autonomous driving,robotics,and virtual reality(VR).Howe...Light detection and ranging(LiDAR)sensors play a vital role in acquiring 3D point cloud data and extracting valuable information about objects for tasks such as autonomous driving,robotics,and virtual reality(VR).However,the sparse and disordered nature of the 3D point cloud poses significant challenges to feature extraction.Overcoming limitations is critical for 3D point cloud processing.3D point cloud object detection is a very challenging and crucial task,in which point cloud processing and feature extraction methods play a crucial role and have a significant impact on subsequent object detection performance.In this overview of outstanding work in object detection from the 3D point cloud,we specifically focus on summarizing methods employed in 3D point cloud processing.We introduce the way point clouds are processed in classical 3D object detection algorithms,and their improvements to solve the problems existing in point cloud processing.Different voxelization methods and point cloud sampling strategies will influence the extracted features,thereby impacting the final detection performance.展开更多
林火是森林生态系统碳循环的重要影响因子。火干扰引起的土壤碳通量变化会直接影响森林生态系统的碳循环过程。以苏州市光福镇潭山2016年森林火灾后的火烧迹地为研究区域,对不同强度(轻度、中度)火烧迹地和未过火区域(对照)的土壤呼吸...林火是森林生态系统碳循环的重要影响因子。火干扰引起的土壤碳通量变化会直接影响森林生态系统的碳循环过程。以苏州市光福镇潭山2016年森林火灾后的火烧迹地为研究区域,对不同强度(轻度、中度)火烧迹地和未过火区域(对照)的土壤呼吸速率进行测定。结果表明,火干扰导致该地区一年后土壤呼吸速率显著升高,且中度火烧>轻度火烧>未过火;轻度、中度火烧迹地和对照样地土壤呼吸速率的数值分别为(3.43±0.15)μmol CO2 m-2 s-1、(3.84±0.28)μmol CO2 m-2 s-1、(3.02±0.26)μmol CO2 m-2 s-1。通过进一步对土壤温湿度测定表明,火烧后土壤温度和土壤含水率对土壤呼吸速率的影响均为正相关且前者影响更为显著。研究结果对苏南地区火干扰后森林生态系统碳循环变化的研究具有重要意义。展开更多
文摘Light detection and ranging(LiDAR)sensors play a vital role in acquiring 3D point cloud data and extracting valuable information about objects for tasks such as autonomous driving,robotics,and virtual reality(VR).However,the sparse and disordered nature of the 3D point cloud poses significant challenges to feature extraction.Overcoming limitations is critical for 3D point cloud processing.3D point cloud object detection is a very challenging and crucial task,in which point cloud processing and feature extraction methods play a crucial role and have a significant impact on subsequent object detection performance.In this overview of outstanding work in object detection from the 3D point cloud,we specifically focus on summarizing methods employed in 3D point cloud processing.We introduce the way point clouds are processed in classical 3D object detection algorithms,and their improvements to solve the problems existing in point cloud processing.Different voxelization methods and point cloud sampling strategies will influence the extracted features,thereby impacting the final detection performance.
文摘林火是森林生态系统碳循环的重要影响因子。火干扰引起的土壤碳通量变化会直接影响森林生态系统的碳循环过程。以苏州市光福镇潭山2016年森林火灾后的火烧迹地为研究区域,对不同强度(轻度、中度)火烧迹地和未过火区域(对照)的土壤呼吸速率进行测定。结果表明,火干扰导致该地区一年后土壤呼吸速率显著升高,且中度火烧>轻度火烧>未过火;轻度、中度火烧迹地和对照样地土壤呼吸速率的数值分别为(3.43±0.15)μmol CO2 m-2 s-1、(3.84±0.28)μmol CO2 m-2 s-1、(3.02±0.26)μmol CO2 m-2 s-1。通过进一步对土壤温湿度测定表明,火烧后土壤温度和土壤含水率对土壤呼吸速率的影响均为正相关且前者影响更为显著。研究结果对苏南地区火干扰后森林生态系统碳循环变化的研究具有重要意义。
