3D line reconstruction from airborne three-line scanner data

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

This paper deals with the automatic reconstruction of 3D object lines from airborne three-line scanner data. These novel sensor systems contain three linear CCD arrays which are oriented perpendicular to the flight direction of the aircraft. In a first processing step, raw image data is projected onto a plane at mean terrain height, resulting in three so-called rectified images with different viewing angles. Although these images are visually equal to frame images, after rectification they still contain small projection errors due to aircraft movements in combination with the line perspective geometry of the sensor. We present a new two-step feature-based approach to extract 3D information from three-line scanner data. In the first step 2D extracted lines are matched in three rectified images. Due to errors in the rectified images and in the 2D line extraction, the matching algorithm only provides approximate 3D information. After the approximate alignment of the object line by the matching algorithm, more precise estimates of pose parameters can be obtained by a least squares fitting algorithm in the second step. In this step the geometry of the recording situation is used in order to remove projection errors. Results of the two-step approach are shown for a complex building model, proving the high potential of airborne digital line scanners for 3D feature extraction purposes.

Original languageEnglish
Title of host publication2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002
Place of PublicationGraz
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Number of pages6
Volume34
Publication statusPublished - 1 Jan 2002
Event2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 - Graz, Austria
Duration: 9 Sep 200213 Sep 2002
https://www.isprs.org/proceedings/XXXIV/part3/

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherCopernicus
ISSN (Print)1682-1750

Conference

Conference2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002
CountryAustria
CityGraz
Period9/09/0213/09/02
Internet address

Fingerprint

scanner
reconstruction
Aircraft
Geometry
aircraft
Sensors
projection
Charge coupled devices
Feature extraction
mathematics
sensor
geometry
flight
recording
Processing

Keywords

  • Automation
  • Building reconstruction
  • Feature extraction
  • Three dimensional
  • Three line scanner

Cite this

Oude Elberink, S. J., & Vosselman, G. (2002). 3D line reconstruction from airborne three-line scanner data. In 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 (Vol. 34). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Graz: International Society for Photogrammetry and Remote Sensing (ISPRS).
Oude Elberink, S.J. ; Vosselman, G. / 3D line reconstruction from airborne three-line scanner data. 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002. Vol. 34 Graz : International Society for Photogrammetry and Remote Sensing (ISPRS), 2002. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).
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abstract = "This paper deals with the automatic reconstruction of 3D object lines from airborne three-line scanner data. These novel sensor systems contain three linear CCD arrays which are oriented perpendicular to the flight direction of the aircraft. In a first processing step, raw image data is projected onto a plane at mean terrain height, resulting in three so-called rectified images with different viewing angles. Although these images are visually equal to frame images, after rectification they still contain small projection errors due to aircraft movements in combination with the line perspective geometry of the sensor. We present a new two-step feature-based approach to extract 3D information from three-line scanner data. In the first step 2D extracted lines are matched in three rectified images. Due to errors in the rectified images and in the 2D line extraction, the matching algorithm only provides approximate 3D information. After the approximate alignment of the object line by the matching algorithm, more precise estimates of pose parameters can be obtained by a least squares fitting algorithm in the second step. In this step the geometry of the recording situation is used in order to remove projection errors. Results of the two-step approach are shown for a complex building model, proving the high potential of airborne digital line scanners for 3D feature extraction purposes.",
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Oude Elberink, SJ & Vosselman, G 2002, 3D line reconstruction from airborne three-line scanner data. in 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002. vol. 34, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, International Society for Photogrammetry and Remote Sensing (ISPRS), Graz, 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002, Graz, Austria, 9/09/02.

3D line reconstruction from airborne three-line scanner data. / Oude Elberink, S.J.; Vosselman, G.

2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002. Vol. 34 Graz : International Society for Photogrammetry and Remote Sensing (ISPRS), 2002. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - This paper deals with the automatic reconstruction of 3D object lines from airborne three-line scanner data. These novel sensor systems contain three linear CCD arrays which are oriented perpendicular to the flight direction of the aircraft. In a first processing step, raw image data is projected onto a plane at mean terrain height, resulting in three so-called rectified images with different viewing angles. Although these images are visually equal to frame images, after rectification they still contain small projection errors due to aircraft movements in combination with the line perspective geometry of the sensor. We present a new two-step feature-based approach to extract 3D information from three-line scanner data. In the first step 2D extracted lines are matched in three rectified images. Due to errors in the rectified images and in the 2D line extraction, the matching algorithm only provides approximate 3D information. After the approximate alignment of the object line by the matching algorithm, more precise estimates of pose parameters can be obtained by a least squares fitting algorithm in the second step. In this step the geometry of the recording situation is used in order to remove projection errors. Results of the two-step approach are shown for a complex building model, proving the high potential of airborne digital line scanners for 3D feature extraction purposes.

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Oude Elberink SJ, Vosselman G. 3D line reconstruction from airborne three-line scanner data. In 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002. Vol. 34. Graz: International Society for Photogrammetry and Remote Sensing (ISPRS). 2002. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).