Development of a geometric model for an all-reflective camera system

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 86, Issue , 2013, Pages 41-51

  Richter, K ^a   Mader, D ^a   Seidl, K ^a   Maas, H G ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

All reflective camera system; Calibration; FEM; Geometric modeling

Indexed keywords

ABERRATIONS; CALIBRATION; CAMERAS; FINITE ELEMENT METHOD; FOURIER SERIES; GEOMETRY; MIRRORS; PHOTOGRAMMETRY; POLYNOMIALS;

CAMERA SYSTEMS; CHEBYSHEV POLYNOMIALS; CHROMATIC ABERRATION; GEOMETRIC IMAGE DISTORTION; GEOMETRIC MODELING; LEGENDRE POLYNOMIALS; NEAR INFRARED SPECTRAL; WIDE SPECTRAL RANGE;

OPTICAL SYSTEMS;

CALIBRATION; FINITE ELEMENT METHOD; GEOMETRY; IMAGE ANALYSIS; NEAR INFRARED; OPTIMIZATION; PHOTOGRAMMETRY; REFLECTIVITY;

EID: 84884732916     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.09.002     Document Type: Article

References (30)

1. Abraham S., Förstner W. Zur automatischen Modellwahl bei der Kalibrierung von CCD-Kameras. Mustererkennung 1997 1997, 147-155. Springer.
2. Brown D. Close-range camera calibration. Photogrammetric Engineering 1971, 37(8):855-866.
3. Conrady A. Decentered lens systems. Monthly Notices of the Royal Astronomical Society 1919, 79:384-390.
4. Ebner H. Self calibrating block adjustment. Bildmessung und Luftbildwesen 1976, 44:128-139.
5. El-Hakim S. A real-time system for object measurement with CCD cameras. International Archives of Photogrammetry and Remote Sensing 1986, 26(Part 5):363-373.
6. Fischbach, J., 2013. Reflecting Microscope Objectives. <> (accessed 04.03.13). http://www.lot-qd.de/files/downloads/davin/eu/Reflecting_Microscope_Objectives_eu.pdf.
7. Grün, A., 1978. Experiences with the self-calibrating bundle adjustment. In: Proc. ACSM-ASP Convention.
8. Hemmleb, M., Weritz, F., Maierhofer, C., Schiemenz, A., 2006. Schadensdiagnose an Bauwerksoberflächen mit multispektralen Methoden. In: Bauwerksdiagnose 2006, vol. P08. pp. 277-286.
9. Kraus K. Photogrammetrie, Band 3, Topographische Informationssysteme 2000, Dümmler Verlag.
10. Lerma J.L., Ruiz L.A., Buchon F. Application of spectral and textural classifications to recognize materials and damages on historic building facades. International Archives of Photogrammetry and Remote Sensing and Spatial Information Sciences 2000, 33(Part 5B):480-483.
11. Lichti D., Chapman M. Constrained FEM self-calibration. Photogrammetric Engineering and Remote Sensing 1997, 63(9):1111-1119.
12. Löffler-Mang M. Optische Sensorik: Lasertechnik, Experimente, Light Barriers 2011, Springer DE.
13. Luhmann T. Zum photogrammetrischen Einsatz von Einzelkameras mit optischer Stereostrahlteilung. Photogrammetrie - Fernerkundung - Geoinformation 2005, 2/2005:101-110.
14. Luhmann T., Robson S., Kyle S., Harley I. Close Range Photogrammetry: Principles, Methods and Applications 2006, Whittles Publishing.
15. Munjy R.A.H. Calibrating non-metric cameras using the finite-element method. Photogrammetric Engineering and Remote Sensing 1986, 52(8):1201-1206.
16. Munjy R.A.H. Self-calibration using the finite element approach. Photogrammetric Engineering and Remote Sensing 1986, 52(3):411-418.
17. Niemeier, W., 2008. Ausgleichsrechnung - Statistische Auswertemethoden. de Gruyter.
18. Putze, T., Raguse, K., Maas, H.-G., 2007. Configuration of multi mirror systems for single high-speed camera based 3D motion analysis. In: Electronic Imaging 2007. pp. 64910L-64910L.
19. Richter, K., Mader, D., 2012. Development of a geometric model for an all-reflective camera lens system for multispectral image acquisition. In: Entwicklerforum Geodäsie und Geoinformationstechnik. pp. 153-161.
20. Richter, K., Seidl, K., Schneider, D., Mader, D., Maas, H.-G., 2012. Entwicklung eines geometrischen Modells für ein voll-reflektives Kamerasystem für Nahbereichsanwendungen. In: DGPF Tagungsband 21. pp. 363-371.
21. Richter, K., Mader, D., Seidl, K., Maas, H.-G., 2013. Entwicklung und Validierung eines geometrischen Modells für ein voll-reflektives Kamerasystem für Nahbereichsanwendungen. In: Photogrammetrie - Laserscanning - Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013. pp. 400-411.
22. Rovira-Más F. Sensor architecture and task classification for agricultural vehicles and environments. Sensors 2010, 10:11226-11247.
23. Schneider D., Maas H.-G. A geometric model for linear-array-based terrestrial panoramic cameras. The Photogrammetric Record 2006, 21(115):198-210.
24. Schneider D., Schwalbe E., Maas H.-G. Validation of geometric models for fisheye lenses. ISPRS Journal of Photogrammetry and Remote Sensing 2009, 64:259-266.
25. Seidl K., Knobbe J., Grnger H. Design of an all-reflective unobscured optical-power zoom objective. Applied Optics 2009, 48(21):4097-4107.
26. Seidl, K., Richter, K., Knobbe, J., Maas, H.-G., 2011. Wide field-of-view all-reflective objectives designed for multispectral image acquisition in photogrammetric applications. In: SPIE Optical Systems Design. pp. 817210-817210.
27. Tang, R., 2012a. New mathematical self-calibration models in aerial photogrammetry. In: DGPF Tagungsband 21. pp. 457-469.
28. Tang R. A rigorous and flexible calibration method for digital airborne camera systems. International Archives of Photogrammetry and Remote Sensing and Spatial Information Sciences 2012, 39(Part 1B).
29. Tecklenburg W., Luhmann T., Hastedt H. Camera modelling with image-variant parameters and Finite Elements. Optical 3-D Measurement Techniques V 2001, 328-335.
30. Weidner, T., 2004. Auslegung einer multispektralen Kameraanordnung für einen automobilen Einsatz. Ph.D. thesis, Technische Universität Darmstadt.