Compression of LiDAR Data Using Spatial Clustering and Optimal Plane-Fitting

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Compression of LiDAR Data Using Spatial Clustering and Optimal Plane-Fitting"
written by Tarig A. Ali,
published by Advances in Remote Sensing, Vol.2 No.2, 2013

has been cited by the following article(s):

[1]	Lossless compression of LiDAR frames
	2021

[2]	Point Cloud Lossless Compression for LiDAR Sensor Data using 2D-oriented and 3D-oriented Methods
	2021

[3]	Analysis of sensor data
	2017

[4]	Research on Adaptive Point Cloud Simplification and Compression Technology Based on Curvature estimation of Engery Function
	2017

[5]	Multidimensional Spatial Clustering and Visualization of 3D Topographic Relief Data
	Proceedings of the 11th INDIACom, 2017

[6]	Research on Adaptive Point Cloud Simplification and Compression Technology Based on Curvature estimation of Energy Function
	2017

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[1]	Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression Energies, 2024 DOI:10.3390/en17246413

[2]	Multidimensional spatial clustering and visualization of 3D topographic relief data International Journal of Information Technology, 2021 DOI:10.1007/s41870-020-00595-6