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

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 3.5 Positive-negative recognition During the localization stage, algorithm recognizes if the extracted patch is positive or negative. In case of negative, the patch converts to positive. The values of grey value correlation matrix help us to determine if mask is positive and image is negative so the values of grey value correlation matrix become negative. In the case that mask and patch are positive, the matrix of grey value correlation has positive values. 3.6 Estimation of the transformation parameters Now the accurate positions of fiducial marks in pixel system are known and their position in photo coordinate system are available through camera calibration file also. To establish a geometric relationship between pixel and photo coordinate system, projective transformation is used to achieve this goal. At least exact position of four out of eight fiducial marks should be known (Eq.1) AX t byte, i ax +h y+] ta boy c, Va ee a xb yt where: [a, b, c] — Transformation parameters [x ;V | — Photo coordinates of fiducial marks [x,] = Pixel coordinates of fiducial marks 3.7 Localization From various methods used to localize the fiducial mark, we chose two methods which help us to obtain a better accuracy as follow: 3.7.1 Cross Correlation Function (CCF) In this method, a small patch with a search area of 512 by 512 pixels is read from the original image called (f). Template of fiducial mark (w) is conducted to search over the top level of pyramid of extracted patches until the best match between the template and a certain patch is found. Template(w) moves over the search window one by one pixel forward systematically and in every step normalized correlation coefficient is calculated which indicated the best match between (w) and (f) when value of (r) is maximum as shown in Eq.2. 206 f(x,y) X —m——— = A Q M W(x ,y) y Y N Figure 6. Arrangement for the obtaining of f(x, y) and w(x, y) at a given point XX f(x,y) -À pi —my—n) —w) (2) Hmn) = E = Y Az, >| 5] Mx—m yn] xy xy Where: W = the average value of the pixels in w(x, y). f= the average value of f(x, y) in the region coincident with the current location of w r(m, n) = normalized correlation coefficient at a given point of (m, n) The summations are taken over the coordinates common to both f and w. The correlation coefficients are scaled in the range of -1 to 1. In case of the best matching, the number would be 1. 3.8 Precise measurement In this Paper we used two more accurate methods as follow: 3.8.1 Interpolation and surface fitting (ISF) In this method, we fit a bilinear surface (Eq.3) on the approximate pixel position obtained from previous stage and its surrounding. The precise position with sub-pixel accuracy will be gain by derivation of the bilinear surface as shown in Fig. 7.

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