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Abstract:The DMC system procured in the project represented state-of-the-art, large-format digital aerial camera systems at the start of
project. DMC is based on the frame camera model, and to achieve large ground coverage with high spatial resolution, the
output image is formed from four independent images acquired by four cameras. DMC procured for OCMS was carefully
tested to assess its performance level. From test flights by ODOT, three different blocks were selected, representing different
flying condition and flight geometry. Five methods were used for the performance evaluation, including two methods where
self-calibration was also introduced. The analysis of the results confirmed that the DMC meets the manufacturer’s
specification. To maintain consistent performance in normal operations, periodical calibration flights and the use of ground
controls as check points is highly recommended. In addition to further support QA/QC, the use of automated aerial
triangulation is also suggested.
The main product of the ODOT Office of Mapping and CADD Services is orthophoto, which is widely used in many
applications at ODOT and other State offices. Since ODOT primarily acquires data over the transportation network, the
orthophoto production has some specific needs, such as dealing with bridges and occlusions, besides the general tasks of
the orthoimage workflow. In this project, an innovative method was developed to support the orthoimage generation at
bridges. The concept is built around the development of a precise bridge model, which is formed from the DMC imagery and
LiDAR data. In addition, a true orthophoto generation process was implemented. The initial versions of both software tools
installed at Office of CADD and Mapping Services for testing provided valuable feedback for algorithmic refinements.
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