Results 1 to 10 of about 914 (172)
FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning [PDF]
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]
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]
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]
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
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]
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
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]
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
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
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

