Hyperspectral lidar point cloud segmentation based on geometric and spectral information
Light detection and ranging (lidar) can record a 3D environment as point clouds, which are
unstructured and difficult to process efficiently. Point cloud segmentation is an effective …
unstructured and difficult to process efficiently. Point cloud segmentation is an effective …
Filtering airborne LiDAR point clouds based on a scale-irrelevant and terrain-adaptive approach
Separating ground from non-ground points is a challenging and essential task before the
applications of airborne Light Detection And Ranging (LiDAR) data. The classical filters …
applications of airborne Light Detection And Ranging (LiDAR) data. The classical filters …
An active learning method for DEM extraction from airborne LiDAR point clouds
Airborne Light Detection and Ranging (LiDAR) is a popular active remote sensing
technology that has been developing very rapidly in recent years. To solve the problems of …
technology that has been developing very rapidly in recent years. To solve the problems of …
Multi-level interpolation-based filter for airborne LiDAR point clouds in forested areas
Over the past decades, plenty of filtering algorithms have been presented to distinguish
ground and non-ground points from airborne LiDAR point clouds. However, with the existing …
ground and non-ground points from airborne LiDAR point clouds. However, with the existing …
Design and demonstration of airborne hyperspectral imaging LiDAR system based on optical fiber array focal plane splitting
L Qian, D Wu, D Liu, L Zhong, S Shi, S Song… - Optics …, 2023 - Elsevier
The acquisition and application of high-resolution ground object elevation information and
spectral information is a frontier scientific problem in the development of earth observation …
spectral information is a frontier scientific problem in the development of earth observation …
Optical system design for a hyperspectral imaging lidar using supercontinuum laser and its preliminary performance
L Qian, D Wu, X Zhou, L Zhong, W Wei, Y Wang… - Optics …, 2021 - opg.optica.org
To meet the urgent need for surveying and mapping using remote sensing instruments, a
hyperspectral imaging lidar using a supercontinuum laser is proposed. This novel lidar …
hyperspectral imaging lidar using a supercontinuum laser is proposed. This novel lidar …
Parameter simulation and design of an airborne hyperspectral imaging LiDAR system
L Qian, D Wu, D Liu, S Song, S Shi, W Gong, L Wang - Remote Sensing, 2021 - mdpi.com
With continuous technological development, the future development trend of LiDAR in the
field of remote sensing and mapping is to obtain the elevation and spectral information of …
field of remote sensing and mapping is to obtain the elevation and spectral information of …
[PDF][PDF] 高光谱成像激光雷达系统辐射定标和地物信息获取
钱立勇, 吴德成, 周晓军, 钟刘军, 魏巍, 王文举… - Acta Optica …, 2020 - researching.cn
摘要提出一种高光谱成像激光雷达系统的光学结构设计, 并对系统的光学辐射定标方法进行研究
. 利用单色仪对出射光的精细扫描, 确定高光谱成像雷达每个探测通道的带宽和中心波长 …
. 利用单色仪对出射光的精细扫描, 确定高光谱成像雷达每个探测通道的带宽和中心波长 …
Automatic morphological filtering algorithm for airborne lidar data in urban areas
Filtering is a key step for most airborne lidar post-applications in urban areas. To solve the
problems of complex parameter settings and low filtering accuracy in complicated urban …
problems of complex parameter settings and low filtering accuracy in complicated urban …
Improved progressive triangular irregular network densification filtering algorithm for airborne LiDAR data based on a multiscale cylindrical neighborhood
X Wang, X Ma, F Yang, D Su, C Qi, S Xia - Applied Optics, 2020 - opg.optica.org
Laser point cloud filtering is a fundamental step in various applications of light detection and
ranging (LiDAR) data. The progressive triangulated irregular network (TIN) densification …
ranging (LiDAR) data. The progressive triangulated irregular network (TIN) densification …