Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data

Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data

Detecting topographic changes in an urban environment and keeping city-level point clouds up-to-date are important tasks for urban planning and monitoring. In practice, remote sensing data are often available only in different modalities for two epochs. Change detection between airborne laser scanni...

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Bibliographic Details
Main Authors: Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, Michael Ying Yang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
change detection
multimodal data
convolutional neural networks
siamese networks
airborne laser scanning
dense image matching
Online Access:https://www.mdpi.com/2072-4292/11/20/2417

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