Results 151 to 160 of about 872 (170)

Classification of compressed full-waveform airborne lidar data

Remote Sensing Letters
Airborne laser scanners produce 3D data that can be used for a range of applications, such as urban planning, facility monitoring, flood mapping, and forest management. Additional information on the surveyed area can be obtained from the backscattered waveforms recorded by modern light detection and ranging (lidar) sensors.
Macaulay S. O., Maset E., Fusiello A.
openaire   +2 more sources

Comparative Study on Different Time Discrimination Methods for Full-Waveform Lidar

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Full-waveform Light Detection And Ranging (LiDAR) is an active remote sensing technology, in which a laser source emits laser pulses towards objects, and the waveforms of each pair of emitted and returned laser pulses from objects are acquired using a high speed digitizer.
openaire   +1 more source

Polarised Full-Waveform Warning Lidar with Dust Backscattering Suppression

SSRN Electronic Journal, 2022
Jing Liu, Weiqi Jin, Kailiang Que
openaire   +1 more source

Full-waveform LiDAR echo decomposition method

National Remote Sensing Bulletin, 2019
LI Hongpeng, LI Guoyuan, CAI Zhijian, WU Guanhao   +3 more
openaire   +1 more source

Full Waveform Lidar Literature Review

2020
openaire   +1 more source

Terrain modelling and classification using full-waveform LiDAR.

2016
© 2016 Dr. Mohsen Azadbakht ; Full-waveform LiDAR systems capture the complete backscattered signal from the interaction of the laser beam with target(s) located within the laser footprint. The resulting data have advantages over discrete return LiDAR, including higher accuracy of the range measurements and the possibility of retrieving additional ...
openaire   +1 more source

Relevance assessment of full-waveform lidar data for urban area classification

ISPRS Journal of Photogrammetry and Remote Sensing, 2011
Clement Mallet, Christian Heipke, Frédéric Bretar   +2 more
exaly  

Improving and Optimising Visualisations of Full-waveform LiDAR Data.

2019
Milto Miltiadou, Neill D. F. Campbell, Matthew Brown 0001, Darren Cosker, Michael G. Grant   +4 more
openaire   +2 more sources

Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest

Ecological Indicators, 2017
Xiaohuan Xi, Sheng Nie, Guicai Li
exaly  

Estimating forest aboveground biomass using small-footprint full-waveform airborne LiDAR data

International Journal of Applied Earth Observation and Geoinformation, 2019
Xiaohuan Xi, Guoqing Zhou, Shezhou Luo   +2 more
exaly