Automatic Tunnel Steel Arches Extraction Algorithm Based on 3D LiDAR Point Cloud
نویسندگان
چکیده
منابع مشابه
Rule-based Segmentation of Lidar Point Cloud for Automatic Extraction of Building Roof Planes
This paper presents a new segmentation technique for LIDAR point cloud data for automatic extraction of building roof planes. Using the ground height from a DEM (Digital Elevation Model), the raw LIDAR points are separated into two groups: ground and nonground points. The ground points are used to generate a ‘building mask’ in which the black areas represent the ground where there are no laser ...
متن کاملAutomatic Vehicle Extraction from Airborne LiDAR Data Using an Object-Based Point Cloud Analysis Method
Automatic vehicle extraction from an airborne laser scanning (ALS) point cloud is very useful for many applications, such as digital elevation model generation and 3D building reconstruction. In this article, an object-based point cloud analysis (OBPCA) method is proposed for vehicle extraction from an ALS point cloud. First, a segmentation-based progressive TIN (triangular irregular network) d...
متن کاملDevelopment of a Procedure for Vertical Structure Analysis and 3d-single Tree Extraction within Forests Based on Lidar Point Cloud
A procedure for both vertical canopy structure analysis and 3D single tree extraction based on Lidar raw point cloud is presented in this paper. The whole study area is segmented into small study cells by a raster net. For each cell, a normalized point cloud whose point heights represent the absolute heights of the ground objects is generated from the original Lidar raw point cloud. The main tr...
متن کاملAn Automatic Building Extraction and Regularisation Technique Using LiDAR Point Cloud Data and Orthoimage
The development of robust and accurate methods for automatic building detection and regularisation using multisource data continues to be a challenge due to point cloud sparsity, high spectral variability, urban objects differences, surrounding complexity, and data misalignment. To address these challenges, constraints on object’s size, height, area, and orientation are generally benefited whic...
متن کاملAutomatic Building Detection from Lidar Point Cloud Data
This paper proposes an automatic system which detects buildings in urban and rural areas by the use of first pulse return and last pulse return LIDAR data. Initially both first and last pulse return points are interpolated to raster images. This results to two Digital Surface Models (i.e. DSM) and a differential DSM (i.e. DDSM) is computed by them. Then using a height criterion, rough and smoot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19183972