An Occlusion Signal-Processing Framework Based on UAV Sampling for Improving Rendering Quality of Views-Reference-Cited by-同舟云学术

An Occlusion Signal-Processing Framework Based on UAV Sampling for Improving Rendering Quality of Views

Published:2024 Issue: Volume: Page:3-15
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:en
Short-container-title:

Author:

Liu Qiuming^ORCID,Yan Ke^ORCID,Wang Yichen^ORCID,Li RuiQin^ORCID,Luo Yong

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-55471-1_1

Reference23 articles.

1. Yan, F., Xia, E., Li, Z., Zhou, Z.: Sampling-based path planning for high-quality aerial 3D reconstruction of urban scenes. Remote Sens. 13(5) (2021). https://doi.org/10.3390/rs13050989. https://www.mdpi.com/2072-4292/13/5/989

2. He, Y., Liang, Q., Lu, H., Chai, C.: Based on unmanned aerial vehicle real-scene 3D design and implementation of virtual simulation experiment system for mine smart supervision in large-scale applications. In: 2021 2nd International Conference on Information Science and Education (ICISE-IE), pp. 1406–1413. IEEE (2021)

3. Hermawan, S., Purnomo, J., Tjandra, D., Purnomo, Y.C.: The use of unmanned aerial vehicles (UAV) for reconstruction of topography and bathymetry maps: consideration for civil construction against coastal adaptation due to climate changing. In: MISEIC 2018 (2018)

4. Mancini, F., Dubbini, M., Gattelli, M., Stecchi, F., Fabbri, S., Gabbianelli, G.: Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: the structure from motion approach on coastal environments. Remote Sens. 5(12), 6880–6898 (2013)

5. Qiao, G., Yuan, X., Florinsky, I., Popov, S., He, Y., Li, H.: Topography reconstruction and evolution analysis of outlet glacier using data from unmanned aerial vehicles in Antarctica. Int. J. Appl. Earth Obs. Geoinf. 117, 103186 (2023)