Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: AUTOMATIC INTERIOR ORIENTATION OF KFA-1000 SPACE PHOTO Mehdi Ravanbakhsh, Saeid Sadeghian

Document type:: Multivolume work

Structure type:: Chapter

ul 2004 <, y) at it with | point o both range be 1. Ww: n the and its ain by International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 Z 4 i itl X,y J > x (max),y (max) Figure 7. Finding the maximum point z = ax" +by' +ex+dy+exy+f (3) For the area-based template matching, the locating accuracy ranges from a half to one pixel, which is, of course, not accurate enough for most photographic products. 4. Analogue Inner orientation There was no available photogrammetric instrument in Iran of sufficient accuracy that could be used because of the large format of the photos (30*30cm). Ways of overcoming the problems can be as follows: 1) Making a photographic reproduction of the image in suitable pieces, measuring with traditional instruments and pinning the pieces together before calculation. 2) Shipping the image to a foreign institution which has image carriers of sufficient size. 3) Reproducing the image ; T 2 . photographically from the original 30*30cm size to 23*23 2 : ; cm to be measurable in a mono comparator. 4)Using overlapping copies (23*30)«" in Planicomp Pl, analytical plotter. 5) Scanning the space photos and use the digital photogrammetric and image processing systems. Initially the third method was used. For determination of geometric distortion of camera a grid was used and then the grid and its photo were measured. After computation, it was realized that geometric distortion due to photography is high (150 micron) and the root mean square errors of residuals was 530 micron because of large lens distortion of camera, therefore, the first method was employed. 4.1. Pinning the pieces together After making a photographic reproduction of the image in suitable pieces and measuring with traditional instruments, the pieces are then joined together before calculation. The pieces of one KFA-1000 photo pinned with conformal using at least four common points. The result of pinning the 17957 KFA-1000 photo being displayed in Table I. Points | Vx(micron Vy(micron | 1 -] 1 zz -] Table 1. Results of pinning 4.2. Systematic errors of KFA-1000 photos The additional parameters of radial distortion of the power of five were computed. Film shrinkage is corrected with affine and projective transformation. Affine inner orientation was made with 4 or 5 fiducial marks, the accuracy of the 17957 KFA- 1000 photo displayed in Table 2. To take into consideration the linear distortion in any direction, a two dimensional projective transformation with 5 fiducial marks was employed and the accuracy was better than 10 microns. The refraction correction is below 2 micron. Fiducials Vx (micron Vy(micron 1 2 2 3 3 -12 Table 2. Results from the inner orientation 5. Tests and Results The Results of the algorithms implemented can be seen at table 3. Input data inculdes KFA-1000 scanned photo, camera calibration file including position of fiducial marks in a standard conditions of labratory. Output data includes final report including positions of fiducial marks in pixel system, residual errors of fiducial coordinates, RMSE(Root Mean Square Error). Images were scanned on the resolutions of micrometer by Intergraph PhotoScan TD. In all tables is mean the overall accuracy of the automatic interior orientation process in micrometer. In table 4. we compare the results achieved by using Analogue and Digital method. Transformation : 21 . 2 Ii (D nn excluding (D can including fiducial mark fiducial mark number 5 number 5 Conformal 25.80 23.65 Affine 23.84 20.92 Projective - 10.38 207 Table 3. The results of using CCF method for localization and Surface Fitting for precise measurement

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