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Generating a digital elevation model...
~
Cosandier, Darren Dieter.
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Generating a digital elevation model and orthomosaic from pushbroom imagery.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Generating a digital elevation model and orthomosaic from pushbroom imagery./
Author:
Cosandier, Darren Dieter.
Description:
277 p.
Notes:
Adviser: M. A. Chapman.
Contained By:
Dissertation Abstracts International61-05B.
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ49790
ISBN:
9780612497900
Generating a digital elevation model and orthomosaic from pushbroom imagery.
Cosandier, Darren Dieter.
Generating a digital elevation model and orthomosaic from pushbroom imagery.
- 277 p.
Adviser: M. A. Chapman.
Thesis (Ph.D.)--University of Calgary (Canada), 1999.
This dissertation investigates the entire process of generating a digital elevation model (DEM) from stereo digital pushbroom imagery, and performing a subsequent geometric rectification. This process includes the airborne data collection system, navigation processing, imaging sensor alignment to the mapping frame, automatic DEM generation and the formation of the final ortho-mosaic. Due the fact that no off-the-shelf software is available for pushbroom image processing, specialized software programs were developed for the sensor alignment and DEM generation. Existing programs, developed by the University of Calgary, Itres Research Ltd. or the author, were used for the other processes. In some cases, modifications were made to accommodate this processing methodology.
ISBN: 9780612497900Subjects--Topical Terms:
626642
Computer Science.
Generating a digital elevation model and orthomosaic from pushbroom imagery.
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Thesis (Ph.D.)--University of Calgary (Canada), 1999.
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This dissertation investigates the entire process of generating a digital elevation model (DEM) from stereo digital pushbroom imagery, and performing a subsequent geometric rectification. This process includes the airborne data collection system, navigation processing, imaging sensor alignment to the mapping frame, automatic DEM generation and the formation of the final ortho-mosaic. Due the fact that no off-the-shelf software is available for pushbroom image processing, specialized software programs were developed for the sensor alignment and DEM generation. Existing programs, developed by the University of Calgary, Itres Research Ltd. or the author, were used for the other processes. In some cases, modifications were made to accommodate this processing methodology.
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These algorithms and software programs were tested on imagery collected with a prototype stereo pushbroom sensor developed by Itres Research Ltd. This was a modified variant of the multispectral casi sensor. This modified casi had a B/H ratio of 0.55 compared with 0.60 for conventional aerial photography. Position and attitude were determined via an Ashtech P12 GPS and LTN-90/100 INS, respectively. Test imagery was flown over Calgary, Alberta, and it showed that 1--2 pixel geometric registration accuracies are possible. Geometric rectification used an automatically generated DEM, which was accurate to 6.5 m RMS for a 2.5 m pixel size, when compared to an external DEM. Initial testing for the DEM generation methodology was performed using digital frame imagery, which was captured from a 1:100 scale architectural model of an animal zoo enclosure. DEM generation accuracies were 0.4 m for a 0.3 m pixel size, when expressed at ground scale. The B/H ratio of the frame imagery was 0.44. The frame imagery results are better than the pushbroom mostly due to a more controlled environment. Perspective centre exterior orientation was solved from the ground control, while the pushbroom imagery used the INS for orientation, which is suspected to have angular movements with respect to the imager causing most of the error.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ49790
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