Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures

Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures

The paper presents an efficient photogrammetric workflow to improve the 3D reconstruction of scenes surveyed by integrating terrestrial and Unmanned Aerial Vehicle (UAV) images. In the last years, the integration of this kind of images has shown clear advantages for the complete and detailed 3D repr...

Full description

Bibliographic Details
Main Authors:	Elisa Mariarosaria Farella, Alessandro Torresani, Fabio Remondino
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Remote Sensing
Subjects:	data fusion sparse point cloud filtering image orientation dense point cloud generation
Online Access:	https://www.mdpi.com/2072-4292/12/18/2873

Similar Items

Low Illumination Soybean Plant Reconstruction and Trait Perception
by: Yourui Huang, et al.
Published: (2022-12-01)

A Registration Method of Overlap Aware Point Clouds Based on Transformer-to-Transformer Regression
by: Yafei Zhao, et al.
Published: (2024-05-01)

CPS: A novel canopy profile skyline descriptor for UAV and terrestrial-based forest point cloud registration
by: Ge Xuming, et al.
Published: (2024-06-01)

Point clouds segmentation of rapeseed siliques based on sparse-dense point clouds mapping
by: Yuhui Qiao, et al.
Published: (2023-07-01)

Multistage Adaptive Point-Growth Network for Dense Point Cloud Completion
by: Ruidong Hao, et al.
Published: (2022-10-01)

View-Agnostic Point Cloud Generation for Occlusion Reduction in Aerial Lidar
by: Nina Singer, et al.
Published: (2022-06-01)

High-Resolution UAV RGB Imagery Dataset for Precision Agriculture and 3D Photogrammetric Reconstruction Captured over a Pistachio Orchard (<i>Pistacia vera</i> L.) in Spain
by: Sergio Vélez, et al.
Published: (2022-11-01)

Combination of Images and Point Clouds in a Generative Adversarial Network for Upsampling Crack Point Clouds
by: Nhung Hong Thi Nguyen, et al.
Published: (2022-01-01)

Automatic hierarchical registration of aerial and terrestrial image-based point clouds
by: Amin Baghani, et al.
Published: (2018-01-01)

Semantic maps for cross-view relocalization of terrestrial to UAV point clouds
by: Ge Xuming, et al.
Published: (2022-11-01)

A Dense Mapping Algorithm Based on Spatiotemporal Consistency
by: Ning Liu, et al.
Published: (2023-02-01)

Enhancing the performance of point cloud completion assisted with tactile information
by: Ming Lu, et al.
Published: (2024-12-01)

RE-PU: A Self-Supervised Arbitrary-Scale Point Cloud Upsampling Method Based on Reconstruction
by: Yazhen Han, et al.
Published: (2024-08-01)

Non-Invasive Techniques for Monitoring Cultural Heritage: Change Detection in Dense Point Clouds at the San Pietro Barisano Bell Tower in Matera, Italy
by: Carmen Fattore, et al.
Published: (2024-12-01)

I-PAttnGAN: An Image-Assisted Point Cloud Generation Method Based on Attention Generative Adversarial Network
by: Wenwen Li, et al.
Published: (2025-01-01)

A partial overlapping point cloud registration method based on dynamic feature matching
by: Hui DU, et al.
Published: (2021-04-01)

A partial overlapping point cloud registration method based on dynamic feature matching
by: Hui DU, et al.
Published: (2021-04-01)

Outdoor LiDAR point cloud classification algorithm based on multilevel point cluster feature fusion
by: Yong Li, et al.
Published: (2025-02-01)

A Saliency-Based Sparse Representation Method for Point Cloud Simplification
by: Esmeide Leal, et al.
Published: (2021-06-01)

3-D Vehicle Detection Enhancement Using Tracking Feedback in Sparse Point Clouds Environments
by: Yeqiang Qian, et al.
Published: (2023-01-01)

Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park
by: Ebadat Ghanbari Parmehr, et al.
Published: (2021-05-01)

Towards uniform point distribution in feature-preserving point cloud filtering
by: Shuaijun Chen, et al.
Published: (2023-01-01)

Adaptive Clustering for Point Cloud
by: Zitao Lin, et al.
Published: (2024-01-01)

Multidirectional Shift Rasterization (MDSR) Algorithm for Effective Identification of Ground in Dense Point Clouds
by: Martin Štroner, et al.
Published: (2022-10-01)

Discontinuity Recognition and Information Extraction of High and Steep Cliff Rock Mass Based on Multi-Source Data Fusion
by: Xiali Kong, et al.
Published: (2022-11-01)

High-precision deformation analysis of yingxian wooden pagoda based on UAV image and terrestrial LiDAR point cloud
by: Ming Guo, et al.
Published: (2023-01-01)

De-Skewing LiDAR Scan for Refinement of Local Mapping
by: Lei He, et al.
Published: (2020-03-01)

Map construction algorithm based on dense point cloud
by: Chengjie Liu, et al.
Published: (2024-12-01)

Feature Analysis of Scanning Point Cloud of Structure and Research on Hole Repair Technology Considering Space-Ground Multi-Source 3D Data Acquisition
by: Xinming Pu, et al.
Published: (2022-12-01)

An Onboard Point Cloud Semantic Segmentation System for Robotic Platforms
by: Fei Wang, et al.
Published: (2023-05-01)

Classification and Segmentation of Mining Area Objects in Large-Scale Spares Lidar Point Cloud Using a Novel Rotated Density Network
by: Yueguan Yan, et al.
Published: (2020-03-01)

Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds
by: Petr Klápště, et al.
Published: (2020-12-01)

Study of Point Cloud Integration between UAV-based Dataset and Aerial LiDAR Survey
by: Marlo Antonio Ribeiro Martins, et al.
Published: (2022-12-01)

An Algorithm for Building Exterior Facade Corner Point Extraction Based on UAV Images and Point Clouds
by: Xinnai Zhang, et al.
Published: (2023-08-01)

Automatic Extraction of Tunnel Lining Cross-Sections from Terrestrial Laser Scanning Point Clouds
by: Yun-Jian Cheng, et al.
Published: (2016-10-01)

3D-PCGR: Colored Point Cloud Generation and Reconstruction with Surface and Scale Constraints
by: Chaofeng Yuan, et al.
Published: (2024-03-01)

A Robust and Automatic Algorithm for TLS–ALS Point Cloud Registration in Forest Environments Based on Tree Locations
by: Fariborz Ghorbani, et al.
Published: (2024-01-01)

Vektorizacija poteka daljnovodnih vodnikov s Houghovo transformacijo iz podatkov aero- in terestričnega laserskega skeniranja ( = Extraction of power lines from airborne and terrestrial laser scanning data using the Hough transform)
by: Dejan Grigillo, et al.
Published: (2015-06-01)

An Analysis of Ground-Point Classifiers for Terrestrial LiDAR
by: Kevin C. Roberts, et al.
Published: (2019-08-01)

Extraction of Objects from Terrestrial Laser Scans by Integrating Geometry Image and Intensity Data with Demonstration on Trees
by: Sagi Filin, et al.
Published: (2012-01-01)