A G-Super4PCS Registration Method for Photogrammetric and TLS Data in GeologyReport as inadecuate


A G-Super4PCS Registration Method for Photogrammetric and TLS Data in Geology


A G-Super4PCS Registration Method for Photogrammetric and TLS Data in Geology - Download this document for free, or read online. Document in PDF available to download.

1

School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China

2

Engineering Research Center for Rock-Soil Drilling and Excavation and Protection, Ministry of Education, Wuhan 430074, China

3

Institute for Cartography, TU Dresden, Dresden 01062, Germany





*

Author to whom correspondence should be addressed.



Academic Editor: Wolfgang Kainz

Abstract Photogrammetry and Terrestrial laser scanning TLS are the two primary non-contact active measurement techniques in geology. Integrating TLS data with digital images may achieve complementary advantages of spatial information as well as spectrum information, which would be very valuable for automatic rock surface extraction. In order to extract accurate and comprehensive geological information with both digital images and TLS point cloud, the registration problem for different sensor sources should be solved first. This paper presents a Generalized Super 4-points Congruent Sets G-Super4PCS algorithm to register the TLS point cloud as well as Structure from Motion SfM point cloud generated from disordered digital images. The G-Super4PCS algorithm mainly includes three stages: 1 key-scale rough estimation for point clouds; 2 extraction for the generalized super 4-points congruent base set and scale adaptive optimization; and 3 fine registration with Iterative Closest Point ICP algorithm. The developed method was tested with the columnar basalt data acquired in Guabushan National Geopark in Jiangsu Province, China. The results indicate that the proposed method could be used for indirect registration between digital images and TLS point cloud, and the result of which would be prepared for further integration research. View Full-Text

Keywords: digital images; SfM; TLS; registration digital images; SfM; TLS; registration





Author: Rongchun Zhang 1, Hao Li 1,2,* , Lanfa Liu 3 and Mingfei Wu 1

Source: http://mdpi.com/



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