Building and Vegetation Classification from Airborne Laser Scanning Point Cloud-Reference-Cited by-同舟云学术

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Building and Vegetation Classification from Airborne Laser Scanning Point Cloud

Published:2023-12-15 Issue: Volume:7 Page:1-4
ISSN:
Container-title:2023 IEEE 7th Conference on Information and Communication Technology (CICT)
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Author:

Singh Dheerendra Pratap¹,Yadav Manohar¹

Affiliation:

1. Motilal Nehru National Institute of Technology Allahabad,Geographic Information System (GIS) Cell,Prayagraj,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455089/10455098/10455525.pdf?arnumber=10455525

Reference12 articles.

1. Exploring the Application of Machine Learning Algorithms for Building and Vegetation Classification in Airborne Laser Scanning Point Cloud Data;Samadzadegan,2019

2. Investigating the potential of using Kinect depth data for building and vegetation classification in indoor mapping applications;Khoshelham;ISPRS J. Photogramm. Remote Sens.,2012

3. Airborne and Terrestrial Laser Scanning;Vosselman,2010

4. Segmentation of Buildings from Airborne LiDAR Point Clouds: A Review;Pu;ISPRS J. Photogramm. Remote Sens.

5. A Multi-Scale Method for Building Segmentation in Airborne LiDAR Data;Wang;Remote Sens.,2015

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