Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network

Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network

The detection of buildings in the city is essential in several geospatial domains and for decision-making regarding intelligence for city planning, tax collection, project management, revenue generation, and smart cities, among other areas. In the past, the classical approach used for building detec...

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Bibliographic Details
Main Authors: Sani Success Ojogbane, Shattri Mansor, Bahareh Kalantar, Zailani Bin Khuzaimah, Helmi Zulhaidi Mohd Shafri, Naonori Ueda
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
building classification
extraction
convolution neural networks (CNN)
LiDAR
high-resolution aerial imagery
Online Access:https://www.mdpi.com/2072-4292/13/23/4803

Internet

https://www.mdpi.com/2072-4292/13/23/4803

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