Rapid orthophoto development system.
-
2013-06-01
Details
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
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.
-
Format:
-
Funding:
-
Download URL:
-
File Type:
-
Collection(s):
-
Main Document Checksum:urn:sha256:4c93765649032081a9a4eb60d8591208c8c74d726bb5ef4a34c0d02a52585ea6