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

Article


Liu, Xiaoye, Zhang, Zhenyu, 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. https://doi.org/10.1007/s10707-006-005-9
Article Title

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

ERA Journal ID2021
Article CategoryArticle
AuthorsLiu, Xiaoye (Author), Zhang, Zhenyu (Author), Peterson, Jim (Author) and Chandra, Shobhit (Author)
Journal TitleGeoinformatica: an international journal on advances of computer science for geographic information systems
Journal Citation11 (1), pp. 37-53
Number of Pages17
Year2007
Place of PublicationNetherlands
ISSN1384-6175
1573-7624
Digital Object Identifier (DOI)https://doi.org/10.1007/s10707-006-005-9
Web Address (URL)https://link.springer.com/article/10.1007/s10707-006-0005-9
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 LiDAR-derived DEM to produce high quality orthoimages.

Keywordsorthorectification; orthoimage; LiDAR; LiDAR intensity; DEM
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
401302. Geospatial information systems and geospatial data modelling
460207. Modelling and simulation
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Byline AffiliationsMonash University
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