Aravind Harikumar
Orcid: 0000-0002-9637-7456
According to our database1,
Aravind Harikumar
authored at least 12 papers
between 2016 and 2022.
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Bibliography
2022
Void-Volume-Based Stem Geometric Modeling and Branch-Knot Localization in Terrestrial Laser Scanning Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Combining Spectral, Spatial-Contextual, and Structural Information in Multispectral UAV Data for Spruce Crown Delineation.
Remote. Sens., 2022
2021
A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2021
A Band Grouping Based Approach for Phenotype-Class Mapping of Tree Genotypes Using Spectro-Temporal Information in Hyperspectral Time-Series UAV Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A Fuzzy Approach to Individual Tree Crown Delineation in Uav Based Photogrammetric Multispectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Advanced methods for tree species classification and biophysical parameter estimation using crown geometric information in high density LiDAR data.
PhD thesis, 2019
A Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2019
An Effective Approach to 3D Stem Modeling and Branch-Knot Localization in Multiscan TLS Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
An Approach to Tree Species Classification Using Voxel Neighborhood Density-Based Subsampling of Multiscan Terrestrial Lidar Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
An Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2017
Subdominant tree detection in multi-layered forests by a local projection of airborne lidar data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
An approach to conifer species classification based on crown structure modeling in high density airborne LiDAR data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016