Results 11 to 20 of about 872 (170)
Canopy Height Layering Biomass Estimation Model (CHL-BEM) with Full-Waveform LiDAR
Remote Sensing, 2019 Forest biomass is an important descriptor for studying carbon storage, carbon cycles, and global change science. The full-waveform spaceborne Light Detection And Ranging (LiDAR) Geoscience Laser Altimeter System (GLAS) provides great possibilities for ...
Jinyan Tian +9 more
doaj +3 more sources
A Sparsity-Based Regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data
Remote Sensing, 2016 Full-waveform lidar systems capture the complete backscattered signal from the interaction of the laser beam with targets located within the laser footprint.
Mohsen Azadbakht +2 more
doaj +3 more sources
Characterization of Canopy Layering in Forested Ecosystems Using Full Waveform Lidar [PDF]
Remote Sensing, 2013 Canopy structure, the vertical distribution of canopy material, is an important element of forest ecosystem dynamics and habitat preference. Although vertical stratification, or “canopy layering,” is a basic characterization of canopy structure for ...
Ralph Dubayah +4 more
doaj +3 more sources
Full-Waveform LiDAR Fast Analysis of a Moderately Turbid Bay in Western France [PDF]
Remote Sensing, 2019 In shoreline monitoring, only topo-bathymetric light detection and ranging (LiDAR) can map large corridors from aerial dunes to sandbanks in shallow water. Increasing turbidity masking the formation of 532 nm laser beam echoes on the sea bed makes this challenging.
Patrick Launeau
exaly +6 more sources
Remote Sensing, 2017 A novel de-noising method for improving the performance of full-waveform light detection and ranging (LiDAR) based on differential optical path is proposed, and the mathematical models of this method are developed and verified.
Yang Cheng +7 more
doaj +3 more sources
Full Waveform LiDAR for Adverse Weather Conditions [PDF]
IEEE 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 ...
Andrew M. Wallace +2 more
openaire +1 more source
RELATION NETWORK FOR FULL-WAVEFORMS LIDAR CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Abstract. LiDAR data are widely used in various domains related to geosciences (flow, erosion, rock deformations, etc.), computer graphics (3D reconstruction) or earth observation (detection of trees, roads, buildings, etc.). Because of the unstructured nature of remaining 3D points and because of the cost of acquisition, the LiDAR data processing is ...
Guiotte, Florent +4 more
openaire +4 more sources
FULL WAVEFORM LIDAR EXPLOITATION TECHNIQUE AND ITS EVALUATION IN THE MIXED FOREST HILLY REGION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In this paper a full waveform exploitation technique and its evaluation in the mixed forest hilly region is presented. The increment in ground penetration by using the full waveform exploitation technique compared to the discrete LiDAR pulses during ...
S. Chhatkuli +4 more
doaj +1 more source
Remote Sensing, 2021 Understory vegetation plays an important role in the structure and function of forest ecosystems. Light detection and ranging (LiDAR) can provide understory information in the form of either point cloud or full-waveform data.
Jinling Song +5 more
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BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The full-waveform lidar technology allows a complete access to the information related to the emitted and backscattered laser signals. Although most of the common applications of full-waveform lidar are currently dedicated to the study of forested areas,
J.-C. Michelin, C. Mallet, N. David
doaj +1 more source