Next Article in Journal
Uncovering Distribution Patterns of High Performance Taxis from Big Trace Data
Previous Article in Journal
Semantic 3D Modeling Based on CityGML for Ancient Chinese-Style Architectural Roofs of Digital Heritage
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(5), 129; doi:10.3390/ijgi6050129

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

1
School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China
2
Engineering Research Center for Rock-Soil Drilling & 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
Received: 27 March 2017 / Revised: 18 April 2017 / Accepted: 24 April 2017 / Published: 28 April 2017

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, R.; Li, H.; Liu, L.; Wu, M. A G-Super4PCS Registration Method for Photogrammetric and TLS Data in Geology. ISPRS Int. J. Geo-Inf. 2017, 6, 129.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top