Editorial on Special Issue “3D Reconstruction and Mobile Mapping in Urban Environments Using Remote Sensing”-Reference-Cited by-同舟云学术

Editorial on Special Issue “3D Reconstruction and Mobile Mapping in Urban Environments Using Remote Sensing”

Published:2024-08-31 Issue:17 Volume:16 Page:3236
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Jiang San¹^ORCID,Weng Duojie²,Liu Jianchen³^ORCID,Jiang Wanshou⁴^ORCID

Affiliation:

1. School of Computer Science, China University of Geosciences, Wuhan 430074, China

2. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China

3. The College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

4. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430074, China

Abstract

Both 3D reconstruction and mobile mapping are critical in supporting various applications in urban environments, including but not limited to autonomous driving, smart logistics, pedestrian navigation, and virtual reality [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-4292/16/17/3236/pdf

Reference15 articles.

1. Jiang, S., Liu, J., Li, Y., Weng, D., and Chen, W. (2023). Reliable Feature Matching for Spherical Images via Local Geometric Rectification and Learned Descriptor. Remote Sens., 15.

2. Yao, G., Zhang, J., Zhu, F., Gong, J., Jin, F., Fu, Q., and Ren, X. (2024). Quasi-Dense Matching for Oblique Stereo Images through Semantic Segmentation and Local Feature Enhancement. Remote Sens., 16.

3. Ge, Y., Guo, B., Zha, P., Jiang, S., Jiang, Z., and Li, D. (2024). 3D Reconstruction of Ancient Buildings Using UAV Images and Neural Radiation Field with Depth Supervision. Remote Sens., 16.

4. Lv, J., Jiang, G., Ding, W., and Zhao, Z. (2024). Fast Digital Orthophoto Generation: A Comparative Study of Explicit and Implicit Methods. Remote Sens., 16.

5. Arza-García, M., Gonçalves, J.A., Ferreira Pinto, V., and Bastos, G. (2024). On-Site Stability Assessment of Rubble Mound Breakwaters Using Unmanned Aerial Vehicle-Based Photogrammetry and Random Sample Consensus. Remote Sens., 16.