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making a strong geometry between photographs and objects, more than 400 control points were distributed on objects. Distribution of 
control points was designed based on any 6 control points were acquired by a stereo photograph. This strategy increases the reliability 
of the project and decreases effects of any errors on the processing. Surveying intersection was used for measuring the control points. 
For measuring control points, a SOKKISHA electronic tacheometer model SET 10 was employed and RMS of control points was about 
0.1 mm. 
As mentioned, most of photographs were tilt free and more than 500 stereo photographs were covered all objects. Camera was set up in 
distance of 1.35 m far from epigraphs, 2.3 m far from rock-drawing, 4.5 m far from the building, and 8 m far from the gave. All stereo 
photographs were compiled to map by using a P33 ZEISS analytical stereo plotters. A triangulation has been applied on the extracted 
data for compensation errors and unified a coordinate system. 
3..Problems and Issues 
The main problem in this project was related to the photogrammetric system which was designed for conventional photogrammetry. 
Indeed, most of analytical photogrammetric systems were designed for conventional photogrammetry so were digital photogrammetric 
systems. Despite aerial photogrammetry, close range photogrammetry is always used for precise and reliable measurement which 
employs a reliable mathematical modeling. The mathematical modeling can not be supported by these kinds of photogrammetric 
systems. Only a few close range photogrammetric systems employ this mathematical modeling. 
As mentioned early, in this project was tried to acquire stereo photographs and follow conventional photogrammetric method. 
Therefore, stereo photography method was considered to employ in this project; however, some photographs were highly convergence 
on three axis. In addition, it was considered all photographs which were taken from an object to had unique scale. Unfortunately, these 
rules could not perfectly observed because shape of objects and their places made a natural obstacle to reach them. Consequently, some 
photographs, as mentioned, were highly convergence and different scales. the mentioned strategy was considered based on the 
experience of author in this field. 
Because there were some limitation in analytical stereo plotters for compiling map from unconventional photographs, this strategy were 
decided. However, some references were explained analytical stereo plotters are able to cope with these issues such as Slama (1980), 
still they have problems with very special photographs. it should be considered that analytical stereo plotters are very more flexible than 
digital photogrammetric systems when working whit these kinds of photographs. 
Another problem related to the size of film and volume of project. the size of film was 5x5 cm. According to the strategy and pre- 
analysing, more than 600 stereo photographs were covered to all objets, and it was tried each stereo photographs included at least 6 
control points. Processing of this volume of photographs needs to consider a special strategy for overcoming any processing errors and 
increase the reliability of processing. Increasing control points and area of coverage on the stereo photographs grantees the strategy of 
project, but increases the processing time. 
4..Conclusion and Results 
This section will explain results and will conclude with the remarks. As mentioned more than 600 stereo photographs were covered 
objects and more than 400 control points were distributed on the objects. All control points were measured by using intersection 
surveying method and RMS of their coordinates was about 0.1 mm. About 500 stereo photographs had a normal condition with object 
and the rest had a highly convergence. All of processes were done by a ZEISS STEREO PLOTTER model P33. 
At the first characters and letters of epigraphs were compiled. These characters had special shapes which manually extraction and 
digitisation was very tedious and needed patiently working for hours. More than 150,000 points were extracted and digitised for 
compiling these characters in the computer. Besides, three independent groups were working for editing of these characters. Figures 
5,6,7 show the final output of these characters. 
    
   
  
    
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Figure 5: Demonstration of extracted characters of epigraphs of SASANIAN. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B5. Amsterdam 2000. 369