Home Articles Challenges and Evaluating of Different Matching Techniques in Digital Close Range Photogrammetric...

Challenges and Evaluating of Different Matching Techniques in Digital Close Range Photogrammetric Applications

Sayyed Abdullah Kianejad
M.Sc, student of Photogrammetry, Faculty of Geodesy and Geomatic Engineering
K. N. Toosi University of Technology
Tehran, Iran
Email: [email protected]

M. Varshosaz
Assistant Professor Of Photogrammetry At Faculty Of Geodesy And Geomatic Engineering,
K.N. Toosi University of Technology
Email: [email protected]

Dr. Hamid Ebadi
Assistant Professor Of Photogrammetry At Faculty Of Geodesy And Geomatic Engineering,
K.N. Toosi University of Technology
Email: [email protected]

Barat Mojaradi
Ph.D. Student Of Photogrammetry At Faculty Of Geodesy And Geomatic Engineering,
K.N. Toosi University of Technology
Email: [email protected]

Abstract
To date, various matching methods, proposed and applied in aerial photogrammetry, were generally successful. However, these methods are not good enough in close range photogrammetric applications. This is due to noise, scale differences, convergence of images and occlusions. Consequently, conventional area and feature-based image matching techniques have some shortcomings when used alone. In order to obtain reliable and accurate results, method must be selected in such away that can overcome the difficulties mentioned above. In this paper, different matching methods are identified and theoretically compared with each other based on their usability in close range photogrammetry. To do this, the adaptability to the reality, speed, and reliability are used for the comparison. The results showed that the structural, global and hybrid methods are more efficient in close range photogrammetric conditions.