Developing an Algorithm for Buildings Extraction and Determining Changes from Airborne LiDAR, and Comparing with R-CNN Method from Drone Images

Developing an Algorithm for Buildings Extraction and Determining Changes from Airborne LiDAR, and Comparing with R-CNN Method from Drone Images

The world has experienced urban changes rapidly, and this phenomenon encourages authors to contribute to the United Nations sustainable development goals (SDGs) 2030 and geospatial information. This study presents a proposed algorithm of change detection and extracting the borders of buildings. This...

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Bibliographic Details
Main Authors: Saied Pirasteh, Pejman Rashidi, Heidar Rastiveis, Shengzhi Huang, Qing Zhu, Guoxiang Liu, Yun Li, Jonathan Li, Erfan Seydipour
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
LiDAR
change detection
border extraction
firefly algorithm
ant colony algorithm
drone images
R-CNN
Online Access:https://www.mdpi.com/2072-4292/11/11/1272

Internet

https://www.mdpi.com/2072-4292/11/11/1272

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