311
Views
8
CrossRef citations to date
0
Altmetric
Articles

GVLiDAR: an interactive web-based visualization framework to support geospatial measures on lidar data

, , , &
Pages 827-849 | Received 13 May 2016, Accepted 03 Dec 2016, Published online: 10 Jan 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

David Deibe, Margarita Amor & Ramón Doallo. (2019) Supporting multi-resolution out-of-core rendering of massive LiDAR point clouds through non-redundant data structures. International Journal of Geographical Information Science 33:3, pages 593-617.
Read now

Articles from other publishers (7)

Diego Teijeiro, Margarita Amor, Ramón Doallo & David Deibe. (2023) Interactive Visualization of Large Point Clouds Using an Autotuning Multiresolution Out-Of-Core Strategy. The Computer Journal 66:7, pages 1802-1816.
Crossref
Karishma Solanki, Danish Faraz Abbasi, Munir Hossain, Emran Salahuddin, Shaymaa Ismail Ali & Shahad Ahmed. 2023. Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23) 270 280 .
Rahul Malik & Madaan Nishi. (2021) RETRACTED ARTICLE: Flexible big data approach for geospatial analysis. Journal of Ambient Intelligence and Humanized Computing 13:2, pages 737-756.
Crossref
David Deibe, Margarita Amor & Ramón Doallo. (2020) Big Data Geospatial Processing for Massive Aerial LiDAR Datasets. Remote Sensing 12:4, pages 719.
Crossref
Rahul Malik, Aditya Khamparia, Sahil Garg, Deepak Gupta, Bong Jun Choi & M. Shamim Hossain. (2020) Notice of Violation of IEEE Publication Principles: Reversible Data Hiding and Smart Multimedia Computing Using Big Data in Remote Sensing Systems. IEEE Access 8, pages 153546-153560.
Crossref
Sören Discher, Rico Richter & Jürgen Döllner. (2019) Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics. Graphical Models 104, pages 101036.
Crossref
David Deibe, Margarita Amor & Ramon Doallo. (2018) Big data storage technologies: a case study for web-based LiDAR visualization. Big data storage technologies: a case study for web-based LiDAR visualization.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.