Results 1 to 10 of about 10,319 (255)
A Depth-Adaptive Waveform Decomposition Method for Airborne LiDAR Bathymetry [PDF]
Sensors, 2019 Airborne LiDAR bathymetry (ALB) has shown great potential in shallow water and coastal mapping. However, due to the variability of the waveforms, it is hard to detect the signals from the received waveforms with a single algorithm.
Dandi Wang, Xinlei Zhang
exaly +7 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Different from conventional decomposition methods, which utilize several steps to obtain the final result, a self-attention-based neural network, Attention Full-waveform Decomposition Network (AFD-Net), is discussed in this article for end-to-end full ...
Jun Ke, Gangping Liu
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ANALYSIS AND APPLICATION OF LIDAR WAVEFORM DATA USING A PROGRESSIVE WAVEFORM DECOMPOSITION METHOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Due to rich information of a full waveform of airborne LiDAR (light detection and ranging) data, the analysis of full waveform has been an active area in LiDAR application.
J. Zhu, Z. Zhang, X. Hu, Z. Li
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Waveform inversion based on wavefield decomposition [PDF]
Geophysics, 2016 ABSTRACT Full-waveform inversion (FWI) is a technique for determining the optimal model parameters by minimizing the seismic data misfit between observed and modeled data. The objective function may be highly nonlinear if the model is complex and low-frequency data are missing.
Hervé Chauris +2 more
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A Novel Waveform Decomposition and Spectral Extraction Method for 101-Channel Hyperspectral LiDAR
Remote Sensing, 2022 The 101-channel full-waveform hyperspectral LiDAR (FWHSL) is able to simultaneously obtain geometric and spectral information of the target, and it is widely applied in 3D point cloud terrain generation and classification, vegetation detection, automatic
Yi Hua Hu, Xinyuan Zhang, Jiajie Fang
exaly +3 more sources
Comparison Analysis of Five Waveform Decomposition Algorithms for the Airborne LiDAR Echo Signal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The information from the components obtained by waveform decomposition is usually used to inverse topography, and classify tree species, etc. Many efforts on waveform decomposition algorithms have been presented, but they lack comparison analysis and ...
Guoqing Zhou +2 more
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Remote SensingLaser 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 ...
Junfeng Xie, Xin Lv, Leiguang Wang
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Remote Sensing, 2018 Airborne LiDAR bathymetry (ALB) has been shown to have the ability to retrieve water turbidity using the waveform parameters (i.e., slopes and amplitudes) of volume backscatter returns. However, directly and accurately extracting the parameters of volume
Hongmei Zhang +2 more
exaly +3 more sources
Analyzing the Impact of Different Filtering Methods on Satellite Altimetry Full Waveform Decomposition [PDF]
EPJ Web of Conferences, 2020 Filtering is an essential step in the denoising of satellite altimetry full waveform data, since any deformation and distortion in the shape of the waveform can cause errors in range estimation and further waveform decomposition will also be adversely ...
Zhang Zhijie +5 more
doaj +1 more source
HIGH-PRECISION RANGING BASED ON MULTISPECTRAL FULL-WAVEFORM LIDAR [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Full-waveform light detection and ranging (LiDAR) has become a well-established technique for remote sensing of surface topography and target characterization, offering numerous opportunities in investigation and interpretation of the structural ...
B. Wang +7 more
doaj +1 more source