Results 1 to 10 of about 914 (172)

FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning [PDF]

open access: yesSensors, 2020
In the computer vision field, many 3D deep learning models that directly manage 3D point clouds (proposed after PointNet) have been published. Moreover, deep learning-based-techniques have demonstrated state-of-the-art performance for supervised learning
Takayuki Shinohara   +2 more
doaj   +4 more sources

Color Restoration for Full-Waveform Multispectral LiDAR Data [PDF]

open access: yesRemote Sensing, 2020
The current full-waveform data at a single wavelength can mainly retrieve the geometric attributes of targets along the light path by detecting waveform components, resulting in the lack of spectral or color attribute information.
Binhui Wang   +8 more
doaj   +5 more sources

FULL WAVEFORM ACTIVE HYPERSPECTRAL LIDAR [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
We have developed a prototype full waveform hyperspectral LiDAR and investigated its potential for remote sensing applications. Traditionally hyperspectral remote sensing is based on passive measurement of sunlit targets.
T. Hakala   +2 more
doaj   +3 more sources

Full Waveform LiDAR for Adverse Weather Conditions [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2020
We present and discuss the case for full waveform pixel and image acquisition and processing to enable LiDAR sensors to penetrate and reconstruct 3D surface maps through obscuring media. To that end, we review work on signal propagation, on scanning and arrayed sensors, on signal processing strategies for independent pixels and employing spatial ...
Abderrahim Halimi, Andrew Wallace
exaly   +2 more sources

Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods

open access: yesiForest - Biogeosciences and Forestry, 2011
The goal of this review is to present leading examples of current methodologies for extracting forest characteristics from full-waveform LiDAR data. Four key questions are addressed: (i) does full-waveform LiDAR provide advantages over discrete-return ...
Pirotti F
doaj   +3 more sources

A COMPARISON OF SINGLE PHOTON AND FULL WAVEFORM LIDAR [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Single photon sensitive LiDAR sensors are currently competing with conventional multi-photon laser scanning systems. The advantage of the prior is the potentially higher area coverage performance, which comes at the price of an increased outlier rate and
G. Mandlburger   +3 more
doaj   +3 more sources

Horizontal Geolocation Error Evaluation and Correction on Full-Waveform LiDAR Footprints via Waveform Matching

open access: yesRemote Sensing, 2023
The geolocation accuracy of spaceborne LiDAR (Light Detection And Ranging) data is important for quantitative forest inventory. Geolocation errors in Global Ecosystem Dynamics Investigation (GEDI) footprints are almost unavoidable because of the ...
Yifang Xu   +5 more
doaj   +3 more sources

A signal denoising method for full-waveform LiDAR data [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The lack of noise reduction methods resistant to waveform distortion can hamper correct and accurate decomposition in the processing of full-waveform LiDAR data.
M. Azadbakht   +6 more
doaj   +3 more sources

Performance Assessment of High Resolution Airborne Full Waveform LiDAR for Shallow River Bathymetry

open access: yesRemote Sensing, 2015
We evaluate the performance of full waveform LiDAR decomposition algorithms with a high-resolution single band airborne LiDAR bathymetry system in shallow rivers.
Zhigang Pan   +5 more
doaj   +3 more sources

Exploring full-waveform LiDAR parameters for tree species classification

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2011
Precise tree species classification with high density full-waveform LiDAR data is a key research topic for automated forest inventory. Most approaches constrain to geometric features and only a few consider intensity values. Since full-waveform data offers a much larger amount of deducible information this study explores a high number of parameter and ...
Barbara Koch
exaly   +4 more sources

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