LiDAR-derived high quality ground control information and DEM for image orthorectification

Liu, Xiaoye and Zhang, Zhenyu and Peterson, Jim and Chandra, Shobhit (2007) LiDAR-derived high quality ground control information and DEM for image orthorectification. Geoinformatica: an international journal on advances of computer science for geographic information systems, 11 (1). pp. 37-53. ISSN 1384-6175

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Abstract

[Abstract]: Orthophotos (or orthoimages if in digital form) have long been recognised as a supplement or alternative to standard maps. The increasing applications of orthoimages require efforts to ensure the accuracy of produced orthoimages. As digital photogrammetry technology has reached a stage of relative maturity and stability, the availability of high quality ground control points (GCPs) and digital elevation models (DEMs) becomes the central issue for successfully implementing an image orthorectification project. Concerns with the impacts of the quality of GCPs and DEMs on the quality of orthoimages inspire researchers to look for more reliable approaches to acquire high quality GCPs and DEMs for orthorectification. Light Detection and Ranging (LiDAR), an emerging technology, offers capability of capturing high density three dimensional points and generating high accuracy DEMs in a fast and cost-effective way. Nowadays, highly developed computer technologies enable rapid processing of huge volumes of LiDAR data. This leads to a great potential to use LiDAR data to get high quality GCPs and DEMs to improve the accuracy of orthoimages. This paper presents methods for utilizing LiDAR intensity images to collect high accuracy ground coordinates of GCPs and for utilizing LiDAR data to generate a high quality DEM for digital photogrammetry and orthorectification processes. A comparative analysis is also presented to assess the performance of proposed methods. The results demonstrated the feasibility of using LiDAR intensity image-based GCPs and the LiDARderived DEM to produce high quality orthoimages.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Deposited in accordance with the copyright policy of the publisher.
Depositing User: Dr Xiaoye Liu
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 24 Jan 2008 04:29
Last Modified: 02 Jul 2013 22:57
Uncontrolled Keywords: orthorectification; orthoimage; LiDAR; LiDAR intensity; DEM
Fields of Research (FOR2008): 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
Identification Number or DOI: doi: 10.1007/s10707-006-005-9
URI: http://eprints.usq.edu.au/id/eprint/3780

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