A Novel Multidimensional Statistics Denoising Algorithm Based on Gaussian Mixture Model for Photon-Counting LiDAR Data

The micropulse multibeam photon-counting laser altimeter significantly improves the sampling density along the orbit while introducing abundant noise. Therefore, noise removal is crucial for the subsequent applications of the photon-counting laser altimeter. This study proposes a new multidimensiona...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.13308-13323
Hauptverfasser:	Chen, Sitong, Nie, Sheng, Xi, Xiaohuan, Xia, Shaobo, Zhu, Feng, Wang, Cheng, Zhu, Xiaoxiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptability Algorithms Altimeters Altimetry And land elevation satellite-2 (ICESat-2) Classification algorithms cloud Clustering algorithms Decision making gaussian mixture model (GMM) ice Laser altimeters Lasers Lidar Multidimensional methods multidimensional statistics Noise Noise reduction Performance evaluation photon denoising Photon density photon-counting lidar Photonics Photons Point cloud compression Probabilistic models Recall Residential density Statistical analysis Statistics Training
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