Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

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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:: PERFORMANCE EVALUATION OF CARD SIZE DIGITAL CAMERA FOR PHOTOGRAMMETRIC APPLICATIONS Yuji Ejima, Hirofumi Chikatsu

Document type:: Multivolume work

Structure type:: Chapter

nodern e other S WG olution digital less in s were 05 ar US) 70 002 neras International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 2. PERFORMANCE EVALUATION OF CARD SIZE DIGITAL CAMERA 2.1 Experiments In order to estimate accuracy of card size digital cameras, experiments were performed using 7 kinds of card size digital cameras. Figure 3 shows these cameras and Table 1 shows the major components for these cameras. Stereo images were taken, and camera calibrations were performed by the resection method using 9 control points. After the camera calibration, accuracy was estimated using R.M.S.E. for 33 check points. Test target were made by the accuracy of =0.01lmm for plane coordinates and 0.5mm for vertical. Figure 4 shows the test target. 9 out of the 42 points on test target were used for camera calibrations, and other 33 black points were used as check points. Stereo images for the test target were taken five times with each camera under the same condition (distance from the center of camera to test target, length of base line), and image coordinates for each point were given as the center of area gravity by image processing. Accuracy for 3D coordinates of check points was compared with space resection using 9 GCPs. The average accuracy for 3D coordinates of check points were investigated in this paper. pscri DSC ie m DiMAGE Xt - E “Optio . IXY DIGITAL30 Figure 3 Card size digital cameras Q : Control Points Q : Check Points == 360(mm Ya € à 360(mm) Figure 4 Test target 2.2 Evaluation of Lens Distortion In order to estimate lens distortion for card size digital cameras, three different lens distortion models shown in Table 2 were investigated. Model 0 means no correction for lens distortion, model 1, 2 consider only radial symmetric distortion, and model 3 considers both radial and tangential distortion (Fryer, 1986). Figure 5 shows the R.M.S.E. for 33 check points by each lens distortion models, and R.M.S.E. for the other amateur digital cameras with more than 3 mega pixels are shown together. It may be seen from the results that lens distortion for the armature digital cameras are improved by radial polynomial 3rd degrees distortion model (Model 1), and model 2 and model 3 do not show any further significant improvements compared with modell. Similarly, R.M.S.E. for some card size digital cameras are improved by modell. However, R.M.S.E for some card size digital cameras are improved remarkably by Model 3. It may be said that the reason are depend on some mechanical problems in downsizing and lightening process such as lens storage mechanism and multi-layer structural lens, and individual problem of the specific card size digital cameras. Therefore, it can be said that lens distortion for the card size digital cameras should be corrected by using radial and tangentral model, instead of lens distortion for the armature digital cameras can be corrected sufficiently using radial polynomial 3rd degree model as usual. 2.3 Relation between image resolution and accuracy The relationship between the image resolution and accuracy is shown in Figure 6 and 7, and the results for armature digital cameras are shown together. Figure 6 shows the R.M.S.E for the both camera groups corrected by Model 1. Figure 7 shows the R.M.S.E. for armature digital cameras by Modlel, and R.M.S.E. for the card size digital cameras corrected by Model 3. It may be concluded from these figures that the significant accuracy are achieved in the case of digital card size cameras when lens distortion are corrected by model 3. Table2 Lens distortion models Model No Correction item Equation 0 No correction. : ; > dx=krx 1 Radial distortion ; dyzkry à - dx = kr x + karly 2 Radial distortion 2 : dv=krv+kr'y dx = kr xe kn £2x! )+ ky 2x0 3 Radial and tangential distortion de ky kn 42 2x Where, d, and d, : correction value,Æ, ,k; and k; :distortion coefficient . . 2 2 2 x and y : image coordinate, r” =x" +y Table 1 Major components of the card size digital cameras Producer [Product Name Number of Pixel CCD Sensor Size (WX H x D) Weight (Mega pixcel) CASIO EXILIM ZOOM EX-Z3 9.20 1/2.5 inch 970x570x229 mm 126g MINOLTA |DiMAGE Xi 3.20 172.7 inch 84.5 X 72.0 X 20.0 mm 130 MINOLTA j|DiMAGE Xt 9.20 1/2.7 inch 85.5 x 67.0 x 20.0 mm 120g Canon IXY DIGITAL 30 3.20 1/2.7 inch 85.0 x 56.0 x 23.9 mm 165 PENTAX jOptioS 3.20 1/2.5. inch 83.0 x 52.0x 20.0 mm 98 SONY cyber-shot DSC-F77 4.00 1/1.8 inch 92.6x 71.0x 27.0 mm 152g SONY cyber-shot DSC-T1 5.10 1/2.4 inch 91.0x 60.0x 21.0 mm 155

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