A Multilevel Autoadaptive Denoising Algorithm Based on Forested Terrain Slope for ICESat-2 Photon-Counting Data

In complex mountainous terrain, the terrain slope causes the scattering of pulsed lasers, generating a lot of noise in photon cloud data (PCD) collected from forestland, which seriously affects the accurate retrieval of forest structure parameters. To address this problem, a multilevel autoadaptive...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.16831-16846
Hauptverfasser:	Tang, Jie, Xing, Yanqiu, Wang, Jiaqi, Yang, Hong, Wang, Dejun, Li, Yuanxin, Zhang, Aiting
Format:	Artikel
Sprache:	eng
Schlagworte:	and land elevation satellite-2 (ICESat-2) cloud Clustering algorithms Denoising accuracy Feature extraction forested terrain slope Forestry ice Noise reduction Optics ordering points to identify the clustering structure (OPTICS) photon cloud data (PCD) Photonics Vegetation mapping
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