Results 131 to 140 of about 1,272 (178)
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Deep Learning for LiDAR Waveforms with Multiple Returns
2020 28th European Signal Processing Conference (EUSIPCO), 2021We present LiDARNet, a novel data driven approach to LiDAR waveform processing utilising convolutional neural networks to extract depth information. To effectively leverage deep learning, an efficient LiDAR toolchain was developed, which can generate realistic waveform datasets based on either specific experimental parameters or synthetic scenes at ...
Andreas Aßmann +2 more
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Compressive full waveform lidar
SPIE Proceedings, 2017To avoid high bandwidth detector, fast speed A/D converter, and large size memory disk, a compressive full waveform LIDAR system, which uses a temporally modulated laser instead of a pulsed laser, is studied in this paper. Full waveform data from NEON (National Ecological Observatory Network) are used.
Weiyi Yang, Jun Ke
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Simulating full-waveform lidar
SPIE Proceedings, 2010A simple Monte Carlo model of laser propagation through a tree is presented which allows the simulation of fullwaveform LIDAR signatures. The model incorporates a LIDAR system and a 'natural' scene, including an atmosphere, tree and ground surface. The PROSPECT leaf reflectance model is incorporated to determine leaf radiometric properties.
Angela M. Kim +2 more
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Toward an Optimal Algorithm for LiDAR Waveform Decomposition
IEEE Geoscience and Remote Sensing Letters, 2012This letter introduces a new approach for light detection and ranging (LiDAR) waveform decomposition. First, inflection points are identified by the Ramer-Douglas-Peucker curve-fitting algorithm, and each inflection point has a corresponding baseline during curve fitting. Second, according to the spatial relation between the baseline and the inflection
Yuchu Qin, Tuong Thuy Vu, Yifang Ban
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Robust spectral unmixing of multispectral Lidar waveforms
2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016This paper presents a new Bayesian spectral unmixing algorithm to analyse remote scenes sensed via multispectral Lidar measurements. To a first approximation, each Lidar waveform consists of the temporal signature of the observed target, which depends on the wavelength of the laser source considered and which is corrupted by Poisson noise.
Yoann Altmann +6 more
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Sparse representation of full waveform lidar data
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012Full Waveform Data (FWD) has been increasingly becoming available on modern airborne LiDAR systems. Since the waveform signal is noisy and rather sparse by nature, the compressed FWD representation has several advantages. First, the reduced data volume makes the storage and transmission of waveform data faster and more economic.
Sandor Laky +3 more
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Modeling lidar waveforms in heterogeneous and discrete canopies
IEEE Transactions on Geoscience and Remote Sensing, 2001This study explores the relationship between laser waveforms and canopy structure parameters and the effects of the spatial arrangement of canopy structure on this relationship through a geometric optical model. Studying laser waveforms for such plant canopies is needed for the advanced retrieval of three-dimensional (3D) canopy structure parameters ...
Wenge Ni-Meister +2 more
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Simulating satellite waveform Lidar with DART model
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013DART model was extended for simulating satellite Lidar data of 3D Earth scenes with Monte Carlo based methods. 2 major modeling methods were developed. (1) Monte Carlo method for efficiently handling complex phase functions: once scattering directions with close occurrence probabilities are grouped within classes, a 1st random pulling gives the class ...
Tiangang Yin +4 more
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Waveform decomposition and feature extraction of airborne LiDAR bathymetry
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021To develop the data mining capability of airborne LiDAR bathymetry (ALB) waveform information, the waveform decomposition and feature extraction algorithm of airborne LiDAR bathymetry is proposed in this paper. This method uses the “separate” and “combine” two-step optimized waveform decomposition algorithm to decompose the bottom contribution waveform
Jiaoyang Liu +5 more
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AdaptLidarTools: A Full-Waveform Lidar Processing Suite
2019 15th International Conference on eScience (eScience), 2019AdaptLidarTools is a software package that processes full-waveform lidar data. Full-waveform lidar is an active remote sensing technique in which a laser beam is emitted towards a target and the backscattered energy is recorded as a near continuous waveform.
Shankar, Ravi +5 more
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