Ground truth extraction from LiDAR data for image orthorectification

Liu, Xiaoye and Zhang, Zhenyu (2008) Ground truth extraction from LiDAR data for image orthorectification. In: 2008 International Workshop on Earth Observation and Remote Sensing Applications, 30 Jun-2 Jul 2008, Beijing, China.

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The availability of high accuracy GCPs (Ground Control Points) and DEMs (Digital Elevation Models) becomes the key issue for successful implementation of an image
orthorectification project. It is a very difficult task for collecting a large number of high quality GCPs by using traditional methods to meet all the requirements for digital photogrammetric and orthorectification process. Airborne light detection and ranging (LiDAR) – also referred to as airborne laser scanning (ALS), provides an alternative for high-density and high-accuracy three- imensional terrain point data acquisition. One of the appealing features in the LiDAR output is the direct vailability of three dimensional coordinates of points
and intensity data in object space. With LiDAR data, highaccuracy and high-resolution intensity image, hillshade DSM (Digital Surface Model) image, and DEM can be generated. Due to high planimetric accuracy characteristics of LiDAR data, ground truth can be extracted from these LiDAR-derived products (e.g., hillshade image and intensity image). This study
investigated the feasibility of using LiDAR-derived hillshade DSM image and intensity image to extract ground truth for aerial image orthorectification. Two sets of GCPs were extracted from hillshade image and intensity image separately, and then were used as the inputs for aerial triangulation processing. LiDARderived DEM was then employed for differential rectification to produce the final orthoimage. The assessment of the planimetric
accuracy of orthorectified images by using different set of GCPs was conducted by comparing the coordinates of some checking points from orthoimages and correspondent GPS surveyed coordinates.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited: 18 Nov 2009 06:59
Last Modified: 02 Jul 2013 23:09
Uncontrolled Keywords: LiDAR; image orthorectification; ground control points
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling
40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
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