Research graph
References from Spectral unmixing of hyperspectral lidar signals considering laser beam profile. Local targets link to admitted publications; unresolved targets remain external evidence.
Robust spectral unmixing of sparse multispectral lidar waveforms using gamma markov random fields
10.1109/tci.2017.2703144 · 2017 · External reference
Spectral unmixing of multispectral lidar signals
10.1109/tsp.2015.2457401 · 2015 · External reference
Toward an advanced method for full-waveform hyperspectral LiDAR data processing
2024 · External reference
Full-waveform hyperspectral LiDAR data decomposition via ranking central locations of natural target echoes (Rclonte) at different wavelengths
10.1016/j.rse.2024.114227 · 2024 · External reference
A theoretical demonstration on the independence of distance and incidence angle effects for small-footprint hyperspectral LiDAR: Basic physical concepts
10.1016/j.rse.2024.114452 · 2024 · External reference
N distribution characterization based on organ-level biomass and N concentration using a hyperspectral lidar
10.1016/j.compag.2022.107165 · 2022 · External reference
Estimating vertical chlorophyll concentrations in maize in different health states using hyperspectral LiDAR
10.1109/tgrs.2020.2987436 · 2020 · External reference
10.1109/mgrs.2013.2244672
10.1109/mgrs.2013.2244672 · External reference
Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches
10.1109/jstars.2012.2194696 · 2012 · External reference
10.1109/mgrs.2021.3071158
10.1109/mgrs.2021.3071158 · External reference
Spatial-spectral collaborative attention network for hyperspectral unmixing
10.1080/10106049.2024.2417919 · 2024 · External reference
Feasibility study of ore classification using active hyperspectral LiDAR
10.1109/lgrs.2018.2854358 · 2018 · External reference
Application of hyperspectral LiDAR on 3-D chlorophyll-nitrogen mapping of rohdea japonica in laboratory
10.1109/jstars.2021.3111295 · 2021 · External reference
Degradation aware unfolding network for spectral super-resolution
2024 · External reference
Multispectral imaging and spectral unmixing for characterization of relative phase composition of steel corrosion products
10.1109/jsen.2024.3428472 · 2024 · External reference
Unresolved reference
External reference
Development and application of airborne hyperspectral LiDAR imaging technology
2022 · External reference
Full waveform hyperspectral LiDAR for terrestrial laser scanning
10.1364/oe.20.007119 · 2012 · External reference
A feature selection method for multimodal multispectral LiDAR sensing
10.1016/j.isprsjprs.2024.04.022 · 2024 · External reference
Analytical formula to investigate the modulation of sloped targets using LiDAR waveform
2022 · External reference
The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions
10.1016/j.rse.2024.114291 · 2024 · External reference
Land use/land cover (LULC) classification using hyperspectral images: a review
2024 · External reference
Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: a review of the century (1907–2017)
10.1016/j.rse.2019.111280 · 2019 · External reference
Full-waveform topographic lidar: state-of-the-art
10.1016/j.isprsjprs.2008.09.007 · 2009 · External reference
Multispectral lidar data for land cover classification of urban areas
10.3390/s17050958 · 2017 · External reference
Remote nanoscopy with infrared elastic hyperspectral lidar
10.1002/advs.202207110 · 2023 · External reference
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
10.1016/j.isprsjprs.2020.05.022 · 2020 · External reference
Prototype development and evaluation of a hyperspectral lidar optical receiving system
10.1364/oe.514442 · 2024 · External reference
Multi-echo hyperspectral reflectance extraction method based on full waveform hyperspectral LiDAR
10.1016/j.isprsjprs.2023.11.019 · 2024 · External reference
Non-linear spectral unmixing for monitoring rapidly salinizing coastal landscapes
10.1016/j.rse.2025.114642 · 2025 · External reference
Feasibility study of wood-leaf separation based on hyperspectral LiDAR technology in indoor circumstances
10.1109/jstars.2021.3134651 · 2022 · External reference
A 91-channel hyperspectral LiDAR for coal/rock classification
10.1109/lgrs.2019.2937720 · 2020 · External reference
Feasibility study on fruit parameter estimation based on hyperspectral LiDAR point cloud
10.1007/s11694-024-02729-x · 2024 · External reference
A design and implementation of full waveform hyperspectral LiDAR for ancient architecture modelling
2022 · External reference
Feasibility study on the classification of persimmon trees’ components based on hyperspectral LiDAR
10.3390/s23063286 · 2023 · External reference
A new waveform decomposition method for multispectral LiDAR
10.1016/j.isprsjprs.2019.01.014 · 2019 · External reference
Deep multimodal unmixing of hyperspectral images using Convolutional Block Attention Module (CBAM) and LiDAR features
2025 · External reference
Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner
10.1016/j.isprsjprs.2005.12.001 · 2006 · External reference
Design and evaluation of multispectral LiDAR for the recovery of arboreal parameters
10.1109/tgrs.2013.2285942 · 2014 · External reference
Multichannel interconnection decomposition for hyperspectral LiDAR waveforms detected from over 500 m
2022 · External reference
A novel waveform decomposition and spectral extraction method for 101-channel hyperspectral LiDAR
2022 · External reference
Range resolution enhanced method with spectral properties for hyperspectral LiDAR
10.1109/tgrs.2023.3301896 · 2023 · External reference
Multispectral LiDAR point cloud segmentation for land cover leveraging semantic fusion in deep learning network
10.3390/rs15010243 · 2022 · External reference
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model
2024 · External reference
Research on target echo characteristics and ranging accuracy for laser radar
10.1016/j.infrared.2018.12.003 · 2019 · External reference
Recent advances in hyperspectral image processing
10.1080/10095020.2012.719684 · 2012 · External reference
Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D radiative transfer modeling
10.1016/j.rse.2023.113759 · 2023 · External reference
Advances in spaceborne hyperspectral remote sensing in China
10.1080/10095020.2020.1860653 · 2021 · External reference
Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)
10.1080/01431161.2021.1880662 · 2021 · External reference
Remote nanoscopy with infrared elastic hyperspectral lidar
10.1002/advs.202207110 · ExternalCitation · doi-reference
Feasibility study on fruit parameter estimation based on hyperspectral LiDAR point cloud
10.1007/s11694-024-02729-x · ExternalCitation · doi-reference
N distribution characterization based on organ-level biomass and N concentration using a hyperspectral lidar
10.1016/j.compag.2022.107165 · ExternalCitation · doi-reference
Research on target echo characteristics and ranging accuracy for laser radar
10.1016/j.infrared.2018.12.003 · ExternalCitation · doi-reference
Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner
10.1016/j.isprsjprs.2005.12.001 · ExternalCitation · doi-reference
Full-waveform topographic lidar: state-of-the-art
10.1016/j.isprsjprs.2008.09.007 · ExternalCitation · doi-reference
A new waveform decomposition method for multispectral LiDAR
10.1016/j.isprsjprs.2019.01.014 · ExternalCitation · doi-reference
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
10.1016/j.isprsjprs.2020.05.022 · ExternalCitation · doi-reference
Multi-echo hyperspectral reflectance extraction method based on full waveform hyperspectral LiDAR
10.1016/j.isprsjprs.2023.11.019 · ExternalCitation · doi-reference
A feature selection method for multimodal multispectral LiDAR sensing
10.1016/j.isprsjprs.2024.04.022 · ExternalCitation · doi-reference
Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: a review of the century (1907–2017)
10.1016/j.rse.2019.111280 · ExternalCitation · doi-reference
Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D radiative transfer modeling
10.1016/j.rse.2023.113759 · ExternalCitation · doi-reference
Full-waveform hyperspectral LiDAR data decomposition via ranking central locations of natural target echoes (Rclonte) at different wavelengths
10.1016/j.rse.2024.114227 · ExternalCitation · doi-reference
The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions
10.1016/j.rse.2024.114291 · ExternalCitation · doi-reference
A theoretical demonstration on the independence of distance and incidence angle effects for small-footprint hyperspectral LiDAR: Basic physical concepts
10.1016/j.rse.2024.114452 · ExternalCitation · doi-reference
Non-linear spectral unmixing for monitoring rapidly salinizing coastal landscapes
10.1016/j.rse.2025.114642 · ExternalCitation · doi-reference
Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)
10.1080/01431161.2021.1880662 · ExternalCitation · doi-reference
Recent advances in hyperspectral image processing
10.1080/10095020.2012.719684 · ExternalCitation · doi-reference
Advances in spaceborne hyperspectral remote sensing in China
10.1080/10095020.2020.1860653 · ExternalCitation · doi-reference
Spatial-spectral collaborative attention network for hyperspectral unmixing
10.1080/10106049.2024.2417919 · ExternalCitation · doi-reference
Multispectral imaging and spectral unmixing for characterization of relative phase composition of steel corrosion products
10.1109/jsen.2024.3428472 · ExternalCitation · doi-reference
Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches
10.1109/jstars.2012.2194696 · ExternalCitation · doi-reference
Application of hyperspectral LiDAR on 3-D chlorophyll-nitrogen mapping of rohdea japonica in laboratory
10.1109/jstars.2021.3111295 · ExternalCitation · doi-reference
Feasibility study of wood-leaf separation based on hyperspectral LiDAR technology in indoor circumstances
10.1109/jstars.2021.3134651 · ExternalCitation · doi-reference
Feasibility study of ore classification using active hyperspectral LiDAR
10.1109/lgrs.2018.2854358 · ExternalCitation · doi-reference
A 91-channel hyperspectral LiDAR for coal/rock classification
10.1109/lgrs.2019.2937720 · ExternalCitation · doi-reference
10.1109/mgrs.2013.2244672
10.1109/mgrs.2013.2244672 · ExternalCitation · doi-reference
10.1109/mgrs.2021.3071158
10.1109/mgrs.2021.3071158 · ExternalCitation · doi-reference
Robust spectral unmixing of sparse multispectral lidar waveforms using gamma markov random fields
10.1109/tci.2017.2703144 · ExternalCitation · doi-reference
Design and evaluation of multispectral LiDAR for the recovery of arboreal parameters
10.1109/tgrs.2013.2285942 · ExternalCitation · doi-reference
Estimating vertical chlorophyll concentrations in maize in different health states using hyperspectral LiDAR
10.1109/tgrs.2020.2987436 · ExternalCitation · doi-reference
Range resolution enhanced method with spectral properties for hyperspectral LiDAR
10.1109/tgrs.2023.3301896 · ExternalCitation · doi-reference
Spectral unmixing of multispectral lidar signals
10.1109/tsp.2015.2457401 · ExternalCitation · doi-reference
Full waveform hyperspectral LiDAR for terrestrial laser scanning
10.1364/oe.20.007119 · ExternalCitation · doi-reference
Prototype development and evaluation of a hyperspectral lidar optical receiving system
10.1364/oe.514442 · ExternalCitation · doi-reference
Multispectral LiDAR point cloud segmentation for land cover leveraging semantic fusion in deep learning network
10.3390/rs15010243 · ExternalCitation · doi-reference
Multispectral lidar data for land cover classification of urban areas
10.3390/s17050958 · ExternalCitation · doi-reference
Feasibility study on the classification of persimmon trees’ components based on hyperspectral LiDAR
10.3390/s23063286 · ExternalCitation · doi-reference
