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Article

Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks

1
Institute of Photogrammetry and Remote Sensing, Helsinki University of Technology, P.O. Box 1200, FI-02015 TKK, Finland
2
Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, P.O. Box 15, 02431 Masala, Finland
*
Author to whom correspondence should be addressed.
Received: 6 May 2009 / Revised: 19 June 2009 / Accepted: 15 July 2009 / Published: 29 July 2009
(This article belongs to the Special Issue LiDAR for 3D City Modeling)
Comprehensive 3D modeling of our environment requires integration of terrestrial and airborne data, which is collected, preferably, using laser scanning and photogrammetric methods. However, integration of these multi-source data requires accurate relative orientations. In this article, two methods for solving relative orientation problems are presented. The first method includes registration by minimizing the distances between of an airborne laser point cloud and a 3D model. The 3D model was derived from photogrammetric measurements and terrestrial laser scanning points. The first method was used as a reference and for validation. Having completed registration in the object space, the relative orientation between images and laser point cloud is known. The second method utilizes an interactive orientation method between a multi-scale image block and a laser point cloud. The multi-scale image block includes both aerial and terrestrial images. Experiments with the multi-scale image block revealed that the accuracy of a relative orientation increased when more images were included in the block. The orientations of the first and second methods were compared. The comparison showed that correct rotations were the most difficult to detect accurately by using the interactive method. Because the interactive method forces laser scanning data to fit with the images, inaccurate rotations cause corresponding shifts to image positions. However, in a test case, in which the orientation differences included only shifts, the interactive method could solve the relative orientation of an aerial image and airborne laser scanning data repeatedly within a couple of centimeters. View Full-Text
Keywords: laser scanning; photogrammetry; registration; ICP method; interactive orientation; multi-view; multi-scale laser scanning; photogrammetry; registration; ICP method; interactive orientation; multi-view; multi-scale
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MDPI and ACS Style

Rönnholm, P.; Hyyppä, H.; Hyyppä, J.; Haggrén, H. Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks. Sensors 2009, 9, 6008-6027. https://0-doi-org.brum.beds.ac.uk/10.3390/s90806008

AMA Style

Rönnholm P, Hyyppä H, Hyyppä J, Haggrén H. Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks. Sensors. 2009; 9(8):6008-6027. https://0-doi-org.brum.beds.ac.uk/10.3390/s90806008

Chicago/Turabian Style

Rönnholm, Petri, Hannu Hyyppä, Juha Hyyppä, and Henrik Haggrén. 2009. "Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks" Sensors 9, no. 8: 6008-6027. https://0-doi-org.brum.beds.ac.uk/10.3390/s90806008

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