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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004
Performances by digital drawing were mixed using
measurement of reference points between adjacent models on
MicroStation. Figure 8 shows elevation generated by editing
performances of digital drawings in two dimensions related to
front plane of an object using VirtuoZo system..
5. PRODUCTION OF ORTHO IMAGE
Orthographic images mean images acting as plane figure as
showing central projection objects on orthographic position.
= xa 2
ak
Single photos per each Model GCP Acquisition
Y
Preprocessing =
Image Histogram Matching
Y
Photogrammetry Processing
Interior, Relative Orientation Epipolar geometry
Resampling, Absolute orientation
ES
Y
; Verification of Result / Postprocessing 6
Filtering of DEM (Drape Image) Interactive Editing
QUEM, UA ias
Y
| Final Results
VEDI TAS CAR Y oe Hp A
| Ortho Image Mosaic
Ortho Image
generation
ARI
Figure 9 Orthographic Image Generation Flow
That is, orthographic images have only one difference
that they express an object map with symbols and lines by
images of an object so that they can be used like a map in
directly measuring distances, angles, locations and
dimensions. Like general aerial photography, close-range
photogrammetric survey results are also influenced by
central projection principles. Then, like performances of aerial
photography in which objects are subject to displacement
because of geography and landform, orthographic images
also have some displacement according to landform. Thus,
acquiring orthographic images and applying them in close
photographic surveys will improve efficiency
of surveys. Therefore, this study tries to generate orthographic
images using orthographic rectification approach related to the
main building of Korea University and then perform 3D
modeling on the basis of the same coordinates system using
acquired DEM and drawing performances on the front plane of
an object. Figure 9 describes general process for creating
orthographic images.
5.1 Digital Images and Reference Points
6 sheets of digital image data on the front plane of an object
were used for creating orthographic images. Reference points
were selected as specific points among vector data on digital
drawings and coordinates performances on the same coordinate
system. The target plane was divided into 5 sectors to creating
orthographic images and those sectors were reshaped into one
plane using reference points after image analysis. Each image
has a different brightness according to photography conditions.
So each image was enhanced using linear stretching for
histogram matching. Then, different average values and
standard deviations of digital images were regularly
compensated on the basis of brightness data on Picture 4. Next,
images had same color distributions by equalization. Figure 10
displays divided sectors for creating orthographic images for
the front plane of an object and Figure 11 presents histogram of
digital images used.
Figure 10 Sectors Divided for Creating Orthographic Images