AIRBORNE MULTISPECTRAL LIDAR DATA FOR LAND-COVER CLASSIFICATION AND LAND/WATER MAPPING USING DIFFERENT SPECTRAL INDEXES

20 citations as recorded by crossref.

1. A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification K. Chen et al. https://doi.org/10.1016/j.jag.2024.103683
2. Automatic LOD0 classification of airborne LiDAR data in urban and non-urban areas J. Balado et al. https://doi.org/10.1080/22797254.2018.1522934
3. Multispectral LiDAR Point Cloud Classification Using SE-PointNet++ Z. Jing et al. https://doi.org/10.3390/rs13132516
4. A spatial–spectral classification framework for multispectral LiDAR S. Shi et al. https://doi.org/10.1080/10095020.2023.2208611
5. Extraction of Terraces on the Loess Plateau from High-Resolution DEMs and Imagery Utilizing Object-Based Image Analysis H. Zhao et al. https://doi.org/10.3390/ijgi6060157
6. Using Multispectral Airborne LiDAR Data for Land/Water Discrimination: A Case Study at Lake Ontario, Canada S. Morsy et al. https://doi.org/10.3390/app8030349
7. Water indices for surface water extraction using geospatial techniques: a brief review K. Purnam et al. https://doi.org/10.1007/s40899-024-01035-0
8. Investigating the Consistency of Uncalibrated Multispectral Lidar Vegetation Indices at Different Altitudes M. Okhrimenko & C. Hopkinson https://doi.org/10.3390/rs11131531
9. Multispectral LiDAR-Based Estimation of Surface Fuel Load in a Dense Coniferous Forest A. Stefanidou et al. https://doi.org/10.3390/rs12203333
10. Multispectral Light Detection and Ranging Technology and Applications: A Review N. Takhtkeshha et al. https://doi.org/10.3390/s24051669
11. Capturing multiple full-scene images with a single camera via aperture stop exploitation A. Pung https://doi.org/10.1364/JOSAA.465335
12. An Overview of Shoreline Mapping by Using Airborne LiDAR J. Wang et al. https://doi.org/10.3390/rs15010253
13. Unsupervised surface water mapping with airborne LiDAR data by leveraging physical properties of water H. Song & J. Jung https://doi.org/10.1080/15481603.2024.2437252
14. Individual tree detection using template matching of multiple rasters derived from multispectral airborne laser scanning data L. Huo & E. Lindberg https://doi.org/10.1080/01431161.2020.1800127
15. Geospatial Computer Vision Based on Multi-Modal Data—How Valuable Is Shape Information for the Extraction of Semantic Information? M. Weinmann & M. Weinmann https://doi.org/10.3390/rs10010002
16. Multi-Temporal LiDAR and Hyperspectral Data Fusion for Classification of Semi-Arid Woody Cover Species C. Norton et al. https://doi.org/10.3390/rs14122896
17. Terrain Extraction in Built-Up Areas from Satellite Stereo-Imagery-Derived Surface Models: A Stratified Object-Based Approach F. Luethje et al. https://doi.org/10.3390/ijgi6010009
18. Multi-Spectral Lidar: Radiometric Calibration, Canopy Spectral Reflectance, and Vegetation Vertical SVI Profiles M. Okhrimenko et al. https://doi.org/10.3390/rs11131556
19. Assessment of Phytomass and Carbon Stock in the Ecosystems of the Central Forest Steppe of the East European Plain: Integrated Approach of Terrestrial Environmental Monitoring and Remote Sensing with Unmanned Aerial Vehicles V. Slavskiy et al. https://doi.org/10.3390/life14050632
20. An enhanced classification method based on adaptive multi-scale fusion for long-tailed multispectral point clouds T. Liu et al. https://doi.org/10.1007/s11432-024-4324-6