Abstract
Yuhao Xia, Shilong Xu, Ahui Hou, Jiajie Fang, Wanying Ding, Huifeng Tao, Xinyuan Zhang, Yicheng Wang, Yihua Hu
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Robust spectral unmixing of sparse multispectral lidar waveforms using gamma markov random fields
10.1109/tci.2017.2703144 · 2017
Spectral unmixing of multispectral lidar signals
10.1109/tsp.2015.2457401 · 2015
Toward an advanced method for full-waveform hyperspectral LiDAR data processing
2024
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
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
N distribution characterization based on organ-level biomass and N concentration using a hyperspectral lidar
10.1016/j.compag.2022.107165 · 2022
Estimating vertical chlorophyll concentrations in maize in different health states using hyperspectral LiDAR
10.1109/tgrs.2020.2987436 · 2020
10.1109/mgrs.2013.2244672
10.1109/mgrs.2013.2244672
Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches
10.1109/jstars.2012.2194696 · 2012
Provenance
crossref
Confidence 100%
ror
Confidence 99%
openalex
Confidence 95%
datacite
Confidence 0%
10.1109/mgrs.2021.3071158
10.1109/mgrs.2021.3071158
Spatial-spectral collaborative attention network for hyperspectral unmixing
10.1080/10106049.2024.2417919 · 2024
Feasibility study of ore classification using active hyperspectral LiDAR
10.1109/lgrs.2018.2854358 · 2018
Application of hyperspectral LiDAR on 3-D chlorophyll-nitrogen mapping of rohdea japonica in laboratory
10.1109/jstars.2021.3111295 · 2021
Degradation aware unfolding network for spectral super-resolution
2024
Multispectral imaging and spectral unmixing for characterization of relative phase composition of steel corrosion products
10.1109/jsen.2024.3428472 · 2024
Unresolved referenced work
Kept as external metadata until matched
Development and application of airborne hyperspectral LiDAR imaging technology
2022
Full waveform hyperspectral LiDAR for terrestrial laser scanning
10.1364/oe.20.007119 · 2012
A feature selection method for multimodal multispectral LiDAR sensing
10.1016/j.isprsjprs.2024.04.022 · 2024
Analytical formula to investigate the modulation of sloped targets using LiDAR waveform
2022
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
Land use/land cover (LULC) classification using hyperspectral images: a review
2024
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
Full-waveform topographic lidar: state-of-the-art
10.1016/j.isprsjprs.2008.09.007 · 2009
Multispectral lidar data for land cover classification of urban areas
10.3390/s17050958 · 2017
Remote nanoscopy with infrared elastic hyperspectral lidar
10.1002/advs.202207110 · 2023
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
10.1016/j.isprsjprs.2020.05.022 · 2020
Prototype development and evaluation of a hyperspectral lidar optical receiving system
10.1364/oe.514442 · 2024
Multi-echo hyperspectral reflectance extraction method based on full waveform hyperspectral LiDAR
10.1016/j.isprsjprs.2023.11.019 · 2024
Non-linear spectral unmixing for monitoring rapidly salinizing coastal landscapes
10.1016/j.rse.2025.114642 · 2025
Feasibility study of wood-leaf separation based on hyperspectral LiDAR technology in indoor circumstances
10.1109/jstars.2021.3134651 · 2022
A 91-channel hyperspectral LiDAR for coal/rock classification
10.1109/lgrs.2019.2937720 · 2020
Feasibility study on fruit parameter estimation based on hyperspectral LiDAR point cloud
10.1007/s11694-024-02729-x · 2024
A design and implementation of full waveform hyperspectral LiDAR for ancient architecture modelling
2022
Feasibility study on the classification of persimmon trees’ components based on hyperspectral LiDAR
10.3390/s23063286 · 2023
A new waveform decomposition method for multispectral LiDAR
10.1016/j.isprsjprs.2019.01.014 · 2019
Deep multimodal unmixing of hyperspectral images using Convolutional Block Attention Module (CBAM) and LiDAR features
2025
Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner
10.1016/j.isprsjprs.2005.12.001 · 2006
Design and evaluation of multispectral LiDAR for the recovery of arboreal parameters
10.1109/tgrs.2013.2285942 · 2014
Multichannel interconnection decomposition for hyperspectral LiDAR waveforms detected from over 500 m
2022
Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)
10.1080/01431161.2021.1880662 · doi-reference
Advances in spaceborne hyperspectral remote sensing in China
10.1080/10095020.2020.1860653 · 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 · doi-reference
Recent advances in hyperspectral image processing
10.1080/10095020.2012.719684 · doi-reference
Research on target echo characteristics and ranging accuracy for laser radar
10.1016/j.infrared.2018.12.003 · doi-reference
Multispectral LiDAR point cloud segmentation for land cover leveraging semantic fusion in deep learning network
10.3390/rs15010243 · doi-reference
Range resolution enhanced method with spectral properties for hyperspectral LiDAR
10.1109/tgrs.2023.3301896 · doi-reference
Design and evaluation of multispectral LiDAR for the recovery of arboreal parameters
10.1109/tgrs.2013.2285942 · doi-reference
Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner
10.1016/j.isprsjprs.2005.12.001 · doi-reference
A new waveform decomposition method for multispectral LiDAR
10.1016/j.isprsjprs.2019.01.014 · doi-reference
Feasibility study on the classification of persimmon trees’ components based on hyperspectral LiDAR
10.3390/s23063286 · doi-reference
Feasibility study on fruit parameter estimation based on hyperspectral LiDAR point cloud
10.1007/s11694-024-02729-x · doi-reference
A 91-channel hyperspectral LiDAR for coal/rock classification
10.1109/lgrs.2019.2937720 · doi-reference
Feasibility study of wood-leaf separation based on hyperspectral LiDAR technology in indoor circumstances
10.1109/jstars.2021.3134651 · doi-reference
Non-linear spectral unmixing for monitoring rapidly salinizing coastal landscapes
10.1016/j.rse.2025.114642 · doi-reference
Multi-echo hyperspectral reflectance extraction method based on full waveform hyperspectral LiDAR
10.1016/j.isprsjprs.2023.11.019 · doi-reference
Prototype development and evaluation of a hyperspectral lidar optical receiving system
10.1364/oe.514442 · doi-reference
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
10.1016/j.isprsjprs.2020.05.022 · doi-reference
Remote nanoscopy with infrared elastic hyperspectral lidar
10.1002/advs.202207110 · doi-reference
Multispectral lidar data for land cover classification of urban areas
10.3390/s17050958 · doi-reference
Full-waveform topographic lidar: state-of-the-art
10.1016/j.isprsjprs.2008.09.007 · 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 · 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 · doi-reference
A feature selection method for multimodal multispectral LiDAR sensing
10.1016/j.isprsjprs.2024.04.022 · doi-reference
Multispectral imaging and spectral unmixing for characterization of relative phase composition of steel corrosion products
10.1109/jsen.2024.3428472 · doi-reference
Application of hyperspectral LiDAR on 3-D chlorophyll-nitrogen mapping of rohdea japonica in laboratory
10.1109/jstars.2021.3111295 · doi-reference
Feasibility study of ore classification using active hyperspectral LiDAR
10.1109/lgrs.2018.2854358 · doi-reference
Spatial-spectral collaborative attention network for hyperspectral unmixing
10.1080/10106049.2024.2417919 · doi-reference
10.1109/mgrs.2021.3071158
10.1109/mgrs.2021.3071158 · doi-reference
Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches
10.1109/jstars.2012.2194696 · doi-reference
10.1109/mgrs.2013.2244672
10.1109/mgrs.2013.2244672 · doi-reference
Estimating vertical chlorophyll concentrations in maize in different health states using hyperspectral LiDAR
10.1109/tgrs.2020.2987436 · doi-reference
N distribution characterization based on organ-level biomass and N concentration using a hyperspectral lidar
10.1016/j.compag.2022.107165 · 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 · 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 · doi-reference
Spectral unmixing of multispectral lidar signals
10.1109/tsp.2015.2457401 · doi-reference
Robust spectral unmixing of sparse multispectral lidar waveforms using gamma markov random fields
10.1109/tci.2017.2703144 · doi-reference
Full waveform hyperspectral LiDAR for terrestrial laser scanning
10.1364/oe.20.007119 · doi-reference