scholarly journals Weak Echo Detection from Single Photon Lidar Data Using a Rigorous Adaptive Ellipsoid Searching Algorithm

2018 ◽  
Vol 10 (7) ◽  
pp. 1035 ◽  
Author(s):  
Xiao Wang ◽  
Craig Glennie ◽  
Zhigang Pan
Keyword(s):  
Single Photon ◽  
Lidar Data ◽  
Echo Detection

Study of single photon echo detection technology in underwater target ranging

2005 ◽  
Author(s):  
Xiao Lin Sui ◽  
Zheng Yu Zhang ◽  
Xiao Long Zhang ◽  
Fei Xuan ◽  
Ming Yu ◽  
...  
Keyword(s):  
Single Photon ◽  
Photon Echo ◽  
Detection Technology ◽  
Echo Detection ◽  
Target Ranging ◽  
Underwater Target

scholarly journals Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Julián Tachella ◽  
Yoann Altmann ◽  
Nicolas Mellado ◽  
Aongus McCarthy ◽  
Rachael Tobin ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
Single Photon ◽  
Three Dimensional ◽  
Lidar Data ◽  
Computational Framework ◽  
Processing Times ◽  
Outdoor Scenes ◽  
3D Scene ◽  
Time Required

Abstract Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of time required for the analysis of the recorded data. Here we show a new computational framework for real-time three-dimensional (3D) scene reconstruction from single-photon data. By combining statistical models with highly scalable computational tools from the computer graphics community, we demonstrate 3D reconstruction of complex outdoor scenes with processing times of the order of 20 ms, where the lidar data was acquired in broad daylight from distances up to 320 metres. The proposed method can handle an unknown number of surfaces in each pixel, allowing for target detection and imaging through cluttered scenes. This enables robust, real-time target reconstruction of complex moving scenes, paving the way for single-photon lidar at video rates for practical 3D imaging applications.

scholarly journals The Benefit of the Geospatial-Related Waveforms Analysis to Extract Weak Laser Pulses

2018 ◽  
Vol 10 (7) ◽  
pp. 1141
Author(s):  
Tee-Ann Teo ◽  
Wan-Yi Yeh
Keyword(s):  
Laser Pulses ◽  
Waveform Analysis ◽  
Experimental Result ◽  
Lidar Data ◽  
Important Process ◽  
Echo Detection ◽  
Waveform Lidar ◽  
Reflecting Surface ◽  
Waveform Processing

Waveform lidar provides both geometric and waveform properties from the entire returned signals. The waveform analysis is an important process to extract the attributes of the reflecting surface from the waveform. The proposed method analyzes the geospatial relationship between the return signals by combining the sequential waves. The idea of this method is to analyze the waveform parameters from sequential waves. Since the adjacent return signals are geospatially correlated, they have similar waveform properties that can be used to validate the correctness of the extracted waveform parameters. The proposed method includes three major steps: (1) single-waveform processing for the initial echo detection; (2) multi-waveform processing using waveform alignment and stacking; (3) verification of the enhanced weak return. The experimental waveform lidar data were acquired using Leica ALS60, Optech Pegasus, and Riegl Q680i. The experimental result indicates that the proposed method successfully extracts the weak returns while considering the geospatial relationships. The correctness and increasing rate of the extracted ground points are related to the vegetated coverage such as the complexity and density. The correctness is above 76% in this study. Because the nearest waveform has a higher correlation, the increase in distance of adjacent waveforms will reduce the correctness of the enhanced weak return.

Design of 128×32 GM-APD array ROIC with multi-echo detection for single photon 3D LiDAR

2021 ◽  
Author(s):  
Wangshuai Xu ◽  
Shaowei Zhen ◽  
Hailiang Xiong ◽  
Bingqing Zhao ◽  
Ziyi Liu ◽  
...  
Keyword(s):  
Single Photon ◽  
Echo Detection ◽  
3D Lidar

Fast Classification and Depth Estimation for Multispectral Single-Photon LiDAR Data

2021 ◽  
Author(s):  
Mohamed Amir Alaa Belmekki ◽  
Stephen McLaughlin ◽  
Abderrahim Halimi
Keyword(s):  
Single Photon ◽  
Depth Estimation ◽  
Lidar Data ◽  
Fast Classification

Exploring Building Data from Multispectral and Single-Photon Lidar Systems

2020 ◽  
Author(s):  
Lingli Zhu ◽  
Juha Hyyppä ◽  
Juho-pekka Virtanen ◽  
Xiaowei Yu ◽  
Harri Kaartinen
Keyword(s):  
Noise Level ◽  
Single Photon ◽  
Lidar Data ◽  
Vector Data ◽  
Advantages And Disadvantages ◽  
The Individual ◽  
Intensity Density ◽  
Density Resolution ◽  
Resolution Data ◽  
Better Than

This paper investigated building data from multispectral and single-photon Lidar systems. The multispectral datasets from the individual channels and fused channels were explored. The multispectral and single-photon Lidar data were compared across multiple aspects: the data acquisition geometry, number of echoes, intensity, density, resolution, data defects, noise level, and the absolute and relative accuracy. In addition, we explored the performance of the multispectral and single-photon data for roof plane detection for eight complex/stylish buildings to investigate the suitability of these data for 3D building reconstruction. The building data from the single-photon and multispectral Lidar systems were evaluated with respect to the reference building vector data with an accuracy of better than 5 cm. The advantages and disadvantages of both technologies and their applications in the urban building environment are discussed.

First Evaluation on Single Photon-Sensitive Lidar Data

2016 ◽  
Vol 82 (7) ◽  
pp. 455-463 ◽  
Author(s):  
Qinghua Li ◽  
John Degnan ◽  
Terence Barrett ◽  
Jie Shan
Keyword(s):  
Single Photon ◽  
Lidar Data

scholarly journals Voxel-based spatial elongation filtering method for airborne single-photon LiDAR data

2020 ◽  
Vol 28 (3) ◽  
pp. 3922
Author(s):  
Tong Luo ◽  
Deying Chen ◽  
Zhaodong Chen ◽  
Zhiwei Dong ◽  
Wentao Wu ◽  
...  
Keyword(s):  
Single Photon ◽  
Lidar Data ◽  
Filtering Method
Sign in / Sign up

Export Citation Format

Share Document