Next Article in Journal
Impact of Environmental Factors on the Spectral Characteristics of Lava Surfaces: Field Spectrometry of Basaltic Lava Flows on Tenerife, Canary Islands, Spain
Next Article in Special Issue
Photogrammetric, Geometrical, and Numerical Strategies to Evaluate Initial and Current Conditions in Historical Constructions: A Test Case in the Church of San Lorenzo (Zamora, Spain)
Previous Article in Journal
Ability of the Photochemical Reflectance Index to Track Light Use Efficiency for a Sub-Tropical Planted Coniferous Forest
Previous Article in Special Issue
Multi-Sensor As-Built Models of Complex Industrial Architectures
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(12), 16963-16985; doi:10.3390/rs71215869

A New Approach to the Generation of Orthoimages of Cultural Heritage Objects—Integrating TLS and Image Data

Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, sqr. Politechniki 1, Warsaw 00-661, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Diego Gonzalez-Aguilera, Fabio Remondino, Henrique Lorenzo, Norman Kerle and Prasad S. Thenkabail
Received: 30 June 2015 / Revised: 20 November 2015 / Accepted: 9 December 2015 / Published: 16 December 2015

Abstract

This paper discusses the issue of automation of orthoimage generation based on Terrestrial Laser Scanning (TLS) data and digital images. The following two problems are discussed: automatic generation of projection planes based on TLS data, and automatic orientation of digital images in relation to TLS data. The majority of popular software applications use manual definitions of projection planes. However, the authors propose an original software tool to address the first issue, which defines important planes based on a TLS point cloud utilizing different algorithms (RANdom SAmple Consensus–RANSAC, Hough transform, “region growing”). To address the second task, the authors present a series of algorithms for automated digital image orientation in relation to a point cloud. This is important in cases where scans and images are acquired from different places and at different times. The algorithms utilize Scale Invariant Feature Transform(SIFT) operators in order to find points that correspond in reflectance intensity between coloure images (Red Green Blue—RGB) and orthoimages, based on TLS data. The paper also presents a verification method using SIFT and Speeded-Up Robust Features (SURF) operators. The research results in an original tool and applied Computer Vision(CV) algorithms that improve the process of orthoimage generation. View Full-Text
Keywords: plane detection; RANSAC; Hough transform; CV algorithms; TLS; intensity orthoimages; depth maps; RGB orthoimages; automation of image processing plane detection; RANSAC; Hough transform; CV algorithms; TLS; intensity orthoimages; depth maps; RGB orthoimages; automation of image processing
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).

Supplementary material

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

Markiewicz, J.S.; Podlasiak, P.; Zawieska, D. A New Approach to the Generation of Orthoimages of Cultural Heritage Objects—Integrating TLS and Image Data. Remote Sens. 2015, 7, 16963-16985.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top