Building outline detection based on height and intensity information from airborne LIDAR system

2007 ◽  
Author(s):  
Chengyi Wang ◽  
Zhongming Zhao ◽  
Jianglin Ma
Keyword(s):  
Airborne Lidar ◽  
Lidar System ◽  
Intensity Information

Boresight Calibration of Airborne LiDAR System Without Ground Control Points

2012 ◽  
Vol 9 (1) ◽  
pp. 85-89 ◽  
Author(s):  
Chen Siying ◽  
Ma Hongchao ◽  
Zhang Yinchao ◽  
Zhong Liang ◽  
Xu Jixian ◽  
...  
Keyword(s):  
Airborne Lidar ◽  
Ground Control ◽  
Control Points ◽  
Lidar System ◽  
Ground Control Points

scholarly journals LIDAR BATHYMETRIC EVALUATION BASED ON SCATTERING CLASSIFICATION ALGORITHM

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 97-103
Author(s):  
J. Gao ◽  
G. Q. Zhou ◽  
H. Y. Wang ◽  
X. Zhou ◽  
Y. X. Mu ◽  
...  
Keyword(s):  
Attenuation Coefficient ◽  
Classification Algorithm ◽  
Airborne Lidar ◽  
Discrimination Factor ◽  
Actual Situation ◽  
Particle Scattering ◽  
Lidar System ◽  
Scattering Intensity ◽  
Diffuse Attenuation Coefficient ◽  
532 Nm

Abstract. The evaluation of the bathymetric capability of traditional airborne lidar system is mostly based on the formula of bathymetric capability by evaluating the diffuse attenuation coefficient (Kd). This method is derived form the assumption that the reflectance of sediment is fixed. In this study ,however,the reflectance of sediment is not fixed. Therefore, this study improves the ability of bathymetric formula, and proposes a particle scattering classification algorithm to obtain the transmissivity value. The algorithm filters the scattering modes of particles by scattering discrimination factor (q), and obtains the transmissivity values by using the scattering intensity formulas. Experiments show that, when the transmissivity is in the range of 0–1 and the average values of Kd(532 nm) are 0.1150 m−1, 0.0894 m−1 and 0.0903 m−1 in January, June and October respectively, accordingly, the bathymetric capabilities are 0–44 m, 0–61.5 m and 0–52.5 m, respectively. Compared with the original bathymetric method, these results show that the maximum bathymetric value has measured by the improved bathymetric capability formula and scattering classification algorithm has decreased under the influence of the change of sediment reflectance, and the result is more consistent with the actual situation and more accurate.

scholarly journals Airborne Waveform Lidar Simulator Using the Radiative Transfer of a Laser Pulse

2019 ◽  
Vol 9 (12) ◽  
pp. 2452 ◽  
Author(s):  
Minsu Kim
Keyword(s):  
Radiative Transfer ◽  
Laser Pulse ◽  
Accuracy Assessment ◽  
Three Dimensional ◽  
Finite Size ◽  
Airborne Lidar ◽  
Beam Divergence ◽  
System Response ◽  
Lidar System ◽  
Lidar Equation

An airborne lidar simulator creates a lidar point cloud from a simulated lidar system, flight parameters, and the terrain digital elevation model (DEM). At the basic level, the lidar simulator computes the range from a lidar system to the surface of a terrain using the geomatics lidar equation. The simple computation effectively assumes that the beam divergence is zero. If the beam spot is meaningfully large due to the large beam divergence combined with high sensor altitude, then the beam plane with a finite size interacts with a ground target in a realistic and complex manner. The irradiance distribution of a delta-pulse beam plane is defined based on laser pulse radiative transfer. The airborne lidar simulator in this research simulates the interaction between the delta-pulse and a three-dimensional (3D) object and results in a waveform. The waveform will be convoluted using a system response function. The lidar simulator also computes the total propagated uncertainty (TPU). All sources of the uncertainties associated with the position of the lidar point and the detailed geomatics equations to compute TPU are described. The boresighting error analysis and the 3D accuracy assessment are provided as examples of the application using the simulator.

scholarly journals Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5056
Author(s):  
Haichi Ma ◽  
Hongchao Ma ◽  
Ke Liu ◽  
Wenjun Luo ◽  
Liang Zhang
Keyword(s):  
Control Point ◽  
Digital Camera ◽  
Iteration Process ◽  
Airborne Lidar ◽  
Image Point ◽  
Test Field ◽  
Lidar System ◽  
Ground Control Points ◽  
Source Data ◽  
Point Set

Airborne Light Detection and Ranging (LiDAR) system and digital camera are usually integrated on a flight platform to obtain multi-source data. However, the photogrammetric system calibration is often independent of the LiDAR system and performed by the aerial triangulation method, which needs a test field with ground control points. In this paper, we present a method for the direct georeferencing of images collected by a digital camera integrated in an airborne LiDAR system by automatic boresight misalignments calibration with the auxiliary of point cloud. The method firstly uses an image matching to generate a tie point set. Space intersection is then performed to obtain the corresponding object coordinate values of the tie points, while the elevation calculated from the space intersection is replaced by the value from the LiDAR data, resulting in a new object point called Virtual Control Point (VCP). Because boresight misalignments exist, a distance between the tie point and the image point of VCP can be found by collinear equations in that image from which the tie point is selected. An iteration process is performed to minimize the distance with boresight corrections in each epoch, and it stops when the distance is smaller than a predefined threshold or the total number of epochs is reached. Two datasets from real projects were used to validate the proposed method and the experimental results show the effectiveness of the method by being evaluated both quantitatively and visually.

Galaxy: a new state of the art airborne lidar system

2016 ◽  
Author(s):  
Daryl Hartsell ◽  
Paul E. LaRocque ◽  
Jeffrey Tripp
Keyword(s):  
State Of The Art ◽  
Airborne Lidar ◽  
Lidar System

Airborne Lidar Plume and Haze Analyzer (ALPHA-1)

1980 ◽  
Vol 61 (9) ◽  
pp. 1035-1043 ◽  
Author(s):  
Edward E. Uthe ◽  
Norman B. Nielsen ◽  
Walter L. Jimison
Keyword(s):  
Boundary Layer ◽  
Los Angeles ◽  
Power Plants ◽  
Particle Concentration ◽  
Layer Structure ◽  
Airborne Lidar ◽  
Test Program ◽  
Lidar System ◽  
Four Corners ◽  
Terrain Features

A new two-wavelength airborne lidar system has been constructed and field-tested. The system was designed to observe the distribution of particle concentrations over large regional areas. During a one-week field-test program, the system was used to observe boundary layer structure over the Los Angeles area and the downwind structure of particulate plumes from the Navajo (Page, Ariz.) and Four Corners (Farmington, N.Mex.) power plants. Data examples presented show the importance of terrain features in influencing particle concentration distributions over regional areas.

The Application of Airborne LiDAR System in Geological Disasters

2013 ◽  
Vol 807-809 ◽  
pp. 1921-1927
Author(s):  
Peng Tong ◽  
Hong Cheng Liu ◽  
Shuai Hua Gao
Keyword(s):  
Three Dimensional ◽  
Airborne Lidar ◽  
Disaster Mitigation ◽  
Lidar System ◽  
Geological Disasters ◽  
Disaster Assessment ◽  
Point Data ◽  
Three Dimensional Coordinate ◽  
Data Acquisition And Processing ◽  
Coordinate Data

Airborne LiDAR System is a laser detection and ranging system for quickly obtaining high-precision, high-density three-dimensional coordinate data. The target information after the geological disasters can be victimized for disaster assessment and decision analysis to provide effective support, LiDAR provides a new technical means for disaster mitigation, relief works. This paper focuses on the application of airborne LiDAR system in geological disasters, it summarizes some experience of the LiDAR point data acquisition and processing, and the results of the LiDAR point data.

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