Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas

Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas

Globally, urban areas are rapidly expanding and high-quality remote sensing products are essential to help guide such development towards efficient and sustainable pathways. Here, we present an algorithm to address a common problem in digital aerial photogrammetry (DAP)-based image point clouds: ver...

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Bibliographic Details
Main Authors: Ranjith Gopalakrishnan, Daniela Ali-Sisto, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
height adjustment
co-registration
digital aerial photogrammetry (DAP)
Urban environment
aerial imaging
airborne laser scanning
Online Access:https://www.mdpi.com/2072-4292/12/12/1943

Internet

https://www.mdpi.com/2072-4292/12/12/1943

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