© The Institution of Engineering and Technology
Several high-quality methods for compressing LiDAR data stored in the LAS format have evolved in recent years. They offer good compression for large datasets, but are less efficient on small data packets, which are needed in web applications. This problem is focused on by analysing two state-of-the-art implementations for large LAS datasets and then proposing improvements suitable for small data packets.
References
-
-
1)
-
2)
-
2. Kuder, M., Žalik, B.: ‘Web-based LiDAR visualization with point-based rendering’. Proc. 2011 7th Int. Conf. on Signal Image Technology & Internet-Based Systems (SITIS’11) IEEE Computer Society, Washington, DC, USA, 2011, pp. 38–45.
-
3)
-
5. Langdon, G.G.: ‘An introduction to arithmetic coding’, IBM J. Res. Dev., 1984, 28, pp. 135–149 (doi: 10.1147/rd.282.0135).
-
4)
-
6. Moffat, A.: ‘Implementing the PPM data compression scheme’, IEEE Trans. Commun., 1990, 38, (11), pp. 1917–1921 (doi: 10.1109/26.61469).
-
5)
-
6)
-
4. Mongus, D., Žalik, B.: ‘Efficient method for lossless LiDAR data compression’, Int. J. Remote Sensing, 2011, 32, (9), pp. 2507–2518 (doi: 10.1080/01431161003698385).
-
7)
-
3. Isenburg, M.: ‘LASzip – lossless compression of LiDAR data’, PE&RS, 2013, 79, (2), pp. 209–217.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2013.2585
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