Abstract：Characterization of individual trees is essential for many applications in forest management and ecology. Previous studies relied on single tree detection from monochromatic wavelength airborne laser scanning (ALS) systems and they focused on the use of the geometric spatial information of the point clou代文霞，杨必胜，董震

Abstract: 3D building models are an essential data infrastructure for various applications in a smart city system, since they facilitate spatial queries, spatial analysis, and interactive visualization. Due to the highly complex nature of building structures, automatically reconstructing 3D buildings from poi... 胡平波，杨必胜，董震，袁鹏飞，黄荣刚，范红超

Abstract: Laser scanners are widely used to collect coordinates, also known as point-clouds, of three-dimensional free-form objects. For creating a solid model from a given point-cloud and transferring the data from the model, features-based optimization of the point-cloud to minimize the number if points in the cloud is required. To solve this... 杨必胜 梁福逊 臧玉府

​Abstract：Automatic registration of unordered point clouds collected by the terrestrial laser scanner (TLS) is the prerequisite for many applications including 3D model reconstruction, cultural heritage management, forest structure assessment, landslide monitorig, and solar energy analysis. However, most of the existing p... 董震，杨必胜，梁福逊，黄荣刚，Sebastian Scherer

​Abstract：The three-dimensional (3D) reconstruction of urban buildings from point clouds has long been an active topic in applications related to human activities. However, due to the structures significantly differ in terms of complexity, the task of 3D reconstruction remains a challenging issue especially for the freeform surface... 胡平波，董震，袁鹏飞，梁福逊，杨必胜

​Abestract：In the field of airborne LiDAR point clouds processing, the extraction of buildings has been an active research area for many years. However, it is still difficult to distinguish buildings from vegetation and other objects by using the point entity or the segment entity in various complex urban ... Ronggang Huang⁎, Bisheng Yang, Fuxun Liang, Wenxia Dai, Jianping Li, Mao Tian,Wenxue Xu 黄荣刚，杨必胜，梁福逊，代文霞，李建平，田茂，徐文学 Airborne LiDAR point clouds;Top-down strategy;Building extraction;The object entity

ABSTRACT: 3D laser technology is widely used to collocate the surface information of object. For various applications, we need to extract a goodperceptual quality point cloud from the scanned points. To solve the problem, most of,Yufu Zang, Bisheng Yang,杨必胜， 臧玉府

Abstract: Transmission line corridor (i.e., Right-of-Ways (ROW)) clearance management plays a critically important role in power line risk management and is an important task of the routine power line inspection of the grid company. The clearance anomaly detection measures the distance between the power lines and the surrounding non-power-facility objects in the corridor such as trees, and buildings, to judge whether the clearance is within the safe range. To find the clearance hazards efficiently and flexibly, this study thus proposed an automatic clearance anomaly detection method utilizing LiDAR point clouds collected by unmanned aerial vehicle (UAV). Firstly, the terra Chi Chen *, Bisheng Yang * , Shuang Song , Xiangyang Peng , and Ronggang Huang 陈驰，杨必胜 UAV; LiDAR; point clouds; power transmission lines inspection; clearance anomaly; Feature Extraction