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

AUTOMATIC INTERIOR ORIENTATION OF KFA-1000 SPACE PHOTO Mehdi Ravanbakhsh, Saeid Sadeghian Research Institute of National Cartographic Center (NCC), Tehran, Iran, P.O.Box:13185-1684 (Ravanb, Sadeghian)@ncc.neda.net.ir Commission II/IV KEY WORDS: Orientation, Accuracy, digital, Transformation, Space, Algorithms ABSTRACT: This paper concerned with a comparative study and implementation of Interior orientation manually and automatically for KFA- 1000. In manually method, firstly, we reproduced the image to its reduced size photographically from the original image to be measurable in a mono comparator from 30*30 cm to 23*23 cm which proceeds by measuring of photo coordinates of four pieces of KFA-1000 photo. After computation, it was realized that geometric distortion due to photography is high so the chosen method is to make a photographic reproduction of the image in suitable pieces, measuring with traditional instruments and pining the pieces together before calculation. In the second method, we scanned the space photo and used digital image processing techniques in which CCF (Cross correlation Function) and BinaryCCF were used to approximate positioning followed by quadratic surface fitting for the purpose of precise fiducial centre determination. In both methods, we applied three types of transformation called Conformal, Affine and 2D projective to the algorithms. The final results showed that we could achieve sub-pixel accuracy of nearly 10 micrometer for 25 micrometer pixel size image by using 2D projective transformation which is approximately equal to the accuracy achieved in manual method. With respect to differences between aerial and KFA-1000 photos, we considered those differences and applied them to the algorithms used in both fields (aerial and space) particularly different background at location of each fiducial mark in KFA-1000 which made us to resample a suitable template while in aerial photos backgrounds in any photo are similar with good contrast which guarantee the robustness of the algorithms. We also examined the effect of pre-processing techniques on the robustness of algorithm and took into account the results. 1. INTRODUCTION defined by fiducial marks positions. If the relationship between scanner and camera coordinate system remain constant, inner Image orientation is a prerequisite for any project including 3D orientation will be eliminated from digital photogrammetric computation as it is a complicated and time-consuming process stages. We have not had the chance of using such digital which making it automatic helps us to open a broad range of ^ cameras to prepare high resolution images yet. applications. Due to its decisive importance, image orientation We would be able to design an algorithm to achieve the goal of has always been a focus of attention in photogrammetry. Digital performing interior orientation automatically if it is possible to photogrammetry holds the promise of completely automating ^ have a good knowledge of location, shape, illumination the process of image orientation using image processing and distribution and sizes of fiducial marks in digital scanned KFA- image analysis techniques. It is interesting to note in this 1000 photos. With respect to fully automation procedure context that in the computer vision terminology "image ^ concept, the algorithm should be able to include features listed calibration" sometimes already includes image orientation. below: Image orientation refers to the determination of parameters |-using images with different pixel size describing specific photogrammetric models for mapping 2-using positive or negative images geometric primitives such as points, lines, and areas from one 3-using mirror images coordinate system to another one. Thus, image orientation 4-using rotated images belongs to the class of coordinate transformation problems. 5-using images scanned in different scanners Among orientations (inner, relative and absolute) inner orientation has a special importance as any inaccuracy will 3. DESIGNING AND IMPLEMENTING affect next stages in photogrammetric processes. With respect to the kind of input data, several methods can be taken into account, however, two distinct algorithms performing two major successive stages of localization and precise measurement differently and other minor six stages commonly. 2. INNER ORIENTATION AND AUTOMATION The six common stages are: FEATURES l-extracting image patches 2-resampling the template In inner orientation process, we establish a geometric 3- Image pyramid derivation relationship between photo coordinate system and instrument 4- Detection of the orientation of the image coordinate system. In metric imaging system, photo coordinate 5-positive-negative recognition system is defined by fidcual marks but in field of digital 6-Estimation of the transformation parameters photogrammetry instrument coordinate system is replaced by ^ The whole procedure of automatic interior orientation (AIO) is pixel coordinate system. Image coordinate system is defined by shown in Fig.1. the matrix including grey values but photo coordinate system is 204

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