Research on Airborne LiDAR and Hyperspectral Combined System for Forest Tree Species Classification-Reference-Cited by-同舟云学术

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Research on Airborne LiDAR and Hyperspectral Combined System for Forest Tree Species Classification

Published:2023-11-17 Issue: Volume: Page:29-33
ISSN:
Container-title:Proceedings of the 2023 International Conference on Big Data Mining and Information Processing
language:
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Author:

Du Wei¹^ORCID,Tian Maojie¹^ORCID,Li Junlei¹^ORCID,Xia Lingzhi¹^ORCID,Yang Guozhu¹^ORCID,Hu Wei¹^ORCID,Ma Chuntian¹^ORCID

Affiliation:

1. State Grid Power Space Technology Company Limited, China

Funder

State Grid Electric Power Technology Co.,Ltd

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3645279.3645285

Reference13 articles.

1. LiDAR waveform features for tree species classification and their sensitivity to tree- and acquisition related parameters

2. Retrieval of higher order statistical moments from full-waveform LiDAR data for tree species classification

3. Individual Tree Classification Using Airborne LiDAR and Hyperspectral Data in a Natural Mixed Forest of Northeast China

4. Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping

5. Comparison of combination of dimensionality reduction and classification techniques for identifying tree species using integrated QuickBird imagery and Lidar data

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