A Satellite Full-Waveform Laser Decomposition Method for Forested Areas Based on Hidden Peak Detection and Adaptive Genetic Optimization
Laser waveform data that contain rich three-dimensional structural object information hold significant value in forest resource monitoring. However, traditional waveform decomposition algorithms are often constrained by complex waveform structures and depend on the initial parameter selections, whic...
Saved in:
| Main Authors: | Fangxv Zhang, Xiao Wang, Leiguang Wang, Fan Mo, Liping Zhao, Xiaomeng Yang, Xin Lv, Junfeng Xie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/4/701 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Refining satellite laser altimetry geolocation through full-waveform radiative transfer modeling and matching
by: Ameni Mkaouar, et al.
Published: (2025-12-01) -
Full-waveform Small-footprint LiDAR Multi-target Echo Waveform Lightweight Detection by Spatio-temporal Coupling Models
by: Zhen XIAO, et al.
Published: (2025-06-01) -
Integration of Structural Characteristics from GEDI Waveforms for Improved Forest Type Classification
by: Mary M. McClure, et al.
Published: (2024-12-01) -
Classification of Underwater Sediments in Lab Based on LiDAR Full-Waveform Data
by: Libin Du, et al.
Published: (2025-03-01) -
Low‐Frequency Reconstruction for Full Waveform Inversion by Unsupervised Learning
by: Ningcheng Cui, et al.
Published: (2024-11-01)