On the Lossless Compression of HyperHeight LiDAR Forested Landscape Data

Satellite Light Detection and Ranging (LiDAR) systems produce high-resolution data essential for confronting critical environmental challenges like climate change, disaster management, and ecological conservation. A HyperHeight Data Cube (HHDC) is a novel representation of LiDAR data. HHDCs are stru...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 17; H. 21; S. 3588
Hauptverfasser:	Makarichev, Viktor, Ramirez-Jaime, Andres, Porras-Diaz, Nestor, Vasilyeva, Irina, Lukin, Vladimir, Arce, Gonzalo, Okarma, Krzysztof
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2025
Schlagworte:	Algorithms Analysis Arithmetic coding Binary codes Climate change Climatic changes Compression Compression ratio context-adaptive binary arithmetic encoding Data compression Data structures Data transfer (computers) Data transmission Datasets Disaster management Emergency preparedness Entropy Environmental monitoring Environmental research Height hyperheight data cube (HHDC) Ice sheets Lidar light detection and ranging (LiDAR) lossless compression Mathematical analysis Neon Octrees Optical radar Photons Real time Remote sensing Research facilities Rice codes run-length encoding Sparsity Splitting Tensors Terrain models
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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