搜索结果: 16-30 共查到“Lidar Point Clouds”相关记录32条 . 查询时间(0.027 秒)
Study on the Target Feature Extraction from LIDAR Point Clouds
LIDAR Point Cloud Feature Extraction Edge Detection Digital Image Processing
2015/12/8
With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the impo...
Feature-Based Registration of Ground-Based LIDAR Point Clouds
Terrestrial LIDAR Multiple features Registration Similarity transformation Simultaneous adjustment
2015/12/8
Complete scene description by using terrestrial LIDAR systems usually requires multiple scans from different stations. Point cloud of each scan is associated to its own coordinate system on a station ...
Building Boundary Extraction Based on LIDAR Point Clouds Data
LIDAR Laser Scanning Point Clouds Algorithms Building Extraction Processing
2015/12/8
LIDAR (Light Detection And Ranging) is an active remote sensing system, which could provide fleetly three dimensional information of earth surface with high vertical accuracy. Now the building boundar...
Building Roof Segmentation and Modeling from LIDAR Point Clouds Using Machine Learning Techniques
LiDAR Building Reconstruction Segmentation Feature Extraction Clustering Data mining
2015/12/4
This paper presents an approach to creating a polyhedral model of building roof from LiDAR point clouds using clustering techniques. A building point cloud is first separated into planar and breakline...
DISTRIBUTED DIMENSONALITY-BASED RENDERING OF LIDAR POINT CLOUDS
DISTRIBUTED DIMENSIONALITY-BASED RENDERING LIDAR POINT CLOUDS
2015/9/21
Mobile Mapping Systems (MMS) are now commonly acquiring lidar scans of urban environments for an increasing number of applications such as 3D reconstruction and mapping, urban planning, urban furnitur...
URBAN MODELING BASED ON SEGMENTATION AND REGULARIZATION OF AIRBORNE LIDAR POINT CLOUDS
idar Building reconstruction Urban area modelling
2015/6/1
This paper presents an approach to process raw lidar 3-D point clouds over urban area and extract terrain, buildings and other urban
features. In the initial step, “non-ground points” are separated ...
A DATA DRIVEN METHOD FOR BUILDING RECONSTRUCTION FROM LiDAR POINT CLOUDS
3D building model Building extraction Segmentation Edge points detection Line approximation
2014/12/1
Airborne laser scanning, commonly referred to as LiDAR, is a superior technology for three-dimensional data acquisition from Earth's surface with high speed and density. Building reconstruction is one...
Automated Extraction of 3D Trees from Mobile LiDAR Point Clouds
Mobile LiDAR Tree Extraction Shape Context Segmentation Point Cloud
2014/7/30
This paper presents an automated algorithm for extracting 3D trees directly from 3D mobile light detection and ranging (LiDAR) data. To reduce both computational and spatial complexities, ground point...
Evaluations of Three-Dimensional Building Model Reconstruction from LiDAR Point Clouds and Single-View Perspective Imagery
3D Building Model Reconstruction LiDAR Single View Reconstruction Image-based Reconstruction Close-range Photogrammetry
2014/7/30
This paper briefly presents two approaches for effective three-dimensional (3D) building model reconstruction from terrestrial laser scanning (TLS) data and single perspective view imagery and assesse...
Segmentation of planar surfaces in LiDAR point clouds of an electrical substation by exploring the structure of points neighbourhood
Plane Segmentation LiDAR Point Cloud Processing
2014/7/30
According to the Department of Energy of the USA, today’s electrical distribution system is 97.97% reliable. However, power outages and interruptions still impact many people. Many power outages are c...
In laser scanner architectural surveying it is necessary to extract orthogonal projections from the tridimensional model, plans, elevations and cross sections. The paper presents the workflow of archi...
DIMENSIONALITY BASED SCALE SELECTION IN 3D LIDAR POINT CLOUDS
point cloud adaptive neighborhood scale selection multi-scale analysis feature PCA eigenvalues dimensionality
2014/6/5
This papers presents a multi-scale method that computes robust geometric features on lidar point clouds in order to retrieve the optimal neighborhood size for each point. Three dimensionality features...
MIN-CUT BASED SEGMENTATION OF AIRBORNE LIDAR POINT CLOUDS
LIDAR point clouds segmentation eigenvalue analysis graph-cuts min-cut
2014/4/28
Introducing an organization to the unstructured point cloud before extracting information from airborne lidar data is common in many applications. Aggregating the points with similar features into seg...
STRUCTURE LINE DETECTION FROM LIDAR POINT CLOUDS USING TOPOLOGICAL ELEVATION ANALYSIS
Detection Automation Analysis Point cloud LIDAR Building Model
2014/4/28
Airborne LIDAR point clouds, which have considerable points on object surfaces, are essential to building modeling. In the last two decades, studies have developed different approaches to identify str...
THE DIRECT REGISTRATION OF LIDAR POINT CLOUDS AND HIGH RESOLUTION IMAGE BASED ON LINEAR FEATURE BY INTRODUCING AN UNKNOWN PARAMETER
Airborne LiDAR Linear Feature Registration
2014/4/28
The registration between optical images and point clouds is the first task when the combination of these two datasets is concerned.
Due to the discrete nature of the point clouds, and the 2D-3D tran...