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Temporal Super-resolution Full Waveform LiDAR
Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), 2018In full waveform LiDAR, system ranging resolution is limited by the pulse width of a laser source, and the bandwidth of a detector and a A/D. To overcome the limitation, temporal super-resolution is studied in this paper.
Jun Ke, Edmund Y. Lam
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Measurement of vehicles speed with full waveform lidar
SPIE Proceedings, 2016Measurement of vehicles speed by means of displacement measurement with "time of flight" lidar requires gathering of accurate information about distance to the vehicle in a set time interval. As with any pulsed laser lidar, its maximum range is limited by available incoming signal to noise ratio.
Michał Muzal +4 more
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Voxelization of full waveform LiDAR data for fusion with Hyperspectral Imagery
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013Current research into the fusion of Hyperspectral Imagery (HI) and full waveform LiDAR (Light detection and ranging) has relied on first processing the full waveform LiDAR (FWL) data to a set of discrete returns before combining. However, more information about target properties can potentially be recovered if the raw waveform is preserved in the ...
Hongzhou Wang +2 more
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CNN-based Super-resolution Full-waveform LiDAR
Imaging and Applied Optics Congress, 2020Instead of using multiple sets of measurements, we discuss a CNN with one set of data to obtain temporal super-resolution in full-waveform LiDAR. The super-resolution results can enhance further waveform decomposition or classification performance.
Gangping Liu, Jun Ke, Edmund Y Lam
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Contextual Classification of Full Waveform Lidar Data in the Wadden Sea
IEEE Geoscience and Remote Sensing Letters, 2014The classification of airborne lidar data is a relevant task in different disciplines. The information about the geometry and the full waveform can be used in order to classify the 3-D point cloud. In Wadden Sea areas, the classification of lidar data is of main interest for the scientific monitoring of coastal morphology and habitats, but it becomes a
Alena Schmidt +3 more
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Compressive full-waveform LIDAR with low-cost sensor
SPIE Proceedings, 2016Full-waveform LiDAR is a method that digitizes the complete waveform of backscattered pulses to obtain range information of multi-targets. To avoid expensive sensors in conventional full-waveform LiDAR system, a new system based on compressive sensing method is presented in this paper.
Weiyi Yang, Jun Ke
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Geospatial Processing Full Waveform Lidar Data
2019This thesis focuses on the comprehensive and thorough studies on the geospatial processing of airborne (full) waveform lidar data, including waveform modeling, direct georeferencing, and precise georeferencing with self-calibration.Both parametric and nonparametric approaches of waveform decomposition are studied.
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Cross-section retrieval from full-waveform LiDAR using sparse solutions
2014 IEEE Geoscience and Remote Sensing Symposium, 2014Accurate waveform restoration, from the received noisy waveform, is of great interest to the full-waveform LiDAR community. As a result of this, important attributes could be estimated precisely which are valuable in describing and differentiating LiDAR targets. Assumptions behind prominent methods like the Gaussian decomposition do not hold due to the
Mohsen Azadbakht +3 more
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Simulating full-waveform LIDAR
2012LIDAR (LIght Detection And Ranging) is used to remotely measure the threedimensional shapes and arrangements of objects with high efficiency and accuracy by making precise measurements of time-of-flight of pulses of light. Discrete return LIDAR systems provide a discrete series of elevation points corresponding to reflections from objects in the scene.
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Study on simulation for spaceborne full-waveform lidar data
SPIE Proceedings, 2011The model for simulating full-waveform LiDAR data was developed as a tool to explore the relationship between the LiDAR's design, performance and the terrain characteristics. It is a part of work with the overall purpose to develop a trade-off analysis tool for a spaceborne LiDAR system as a payload of a land-vegetation observation space mission. An
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