Browsing by Author "Pegler, Kevin, H."

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    A Marine recreational vessel reconnaissance system utilizing IKONOS imagery
    Pegler, Kevin, H.
    This dissertation investigates the ability of IKONOS imagery to detect small recreational boats. To accomplish this, automatic target detection software called MRV Recon has been developed which makes use of a weighted Euclidean distance metric. To test the detection accuracy of MRV Recon, a dataset was created by gathering position and attribute data for 53 recreation vessel targets within Cadboro Bay, British Columbia, Canada. IKONOS imagery was collected in May 2003. The overall detection accuracy was 77 %. The targets were broken down into two categories: A) less than 6 m in length, and B) greater than 6 m long. The detection rate for the category B targets was 100%, while the detection rate for the category A targets was 61%. It is important to note that some category A targets were selected specifically to test the detection limits of MRV Recon. The smallest target detected was 2.2 m long and 1.1 m wide. The analysis also revealed that the ability to detect targets between 2.2 m and 6 m long was diminished if the target was a dark colour. It has been demonstrated that MRV Recon will provide the Canadian Coast Guard with a unique and effective tool for gathering crucial data on recreational vessels.
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    A Marine recreational vessel reconnaissance system utilizing IKONOS imagery
    Pegler, Kevin, H.
    This dissertation investigates the ability of IKONOS imagery to detect small recreational boats. To accomplish this, automatic target detection software called MRV Recon has been developed which makes use of a weighted Euclidean distance metric. To test the detection accuracy of MRV Recon, a dataset was created by gathering position and attribute data for 53 recreation vessel targets within Cadboro Bay, British Columbia, Canada. IKONOS imagery was collected in May 2003. The overall detection accuracy was 77 %. The targets were broken down into two categories: A) less than 6 m in length, and B) greater than 6 m long. The detection rate for the category B targets was 100%, while the detection rate for the category A targets was 61%. It is important to note that some category A targets were selected specifically to test the detection limits of MRV Recon. The smallest target detected was 2.2 m long and 1.1 m wide. The analysis also revealed that the ability to detect targets between 2.2 m and 6 m long was diminished if the target was a dark colour. It has been demonstrated that MRV Recon will provide the Canadian Coast Guard with a unique and effective tool for gathering crucial data on recreational vessels.
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    An examination of alternative compensation methods for the removal of the ridging effect from digital terrain model data files
    Pegler, Kevin, H.
    The province of New Brunswick began a systematic program of province-wide Digital Terrain Model (DTM) coverage in the late-1980's. Using 1:35,000-scale aearial photography, the DTMs were collected photogrammetrically as a series of profiles spaced 70 metres apart. No regard was given to breaklines along roads or water bodies. The DTMs have gone through a series of stringent quality control checks to eliminate blunders and ensure the elevations of data points are blunder-free and all fall within specified accuracy tolerances. However, users of these DTM's have continued to express concern over perceived data quality based on the evidence of a regular "ridging" effect within many of the DTM files when viewed under certain conditions. Aware of similar phenomena found in DTMs produced by other organizations, Service New Brunswick (SNB) commissioned researchers in the department of Geodesy and Geomatics Engineering at the University of New Brunswick to investigate the respective requirements and alternatives for batch processing of the DTMs to remove this ridging effect. This report presents research examining specific technical issues and compensation approaches associated with the quantification and removal of the ridging phenomena found in SNB's Enhanced Topographic Database digital terrain data. Further, the issues of ridging will be investigated from points of view ranging from a data limitation issue to a visualization issues. Finally, up to five specific solutions will be examined and compared.
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    An examination of alternative compensation methods for the removal of the ridging effect from digital terrain model data files
    Pegler, Kevin, H.
    The province of New Brunswick began a systematic program of province-wide Digital Terrain Model (DTM) coverage in the late-1980's. Using 1:35,000-scale aearial photography, the DTMs were collected photogrammetrically as a series of profiles spaced 70 metres apart. No regard was given to breaklines along roads or water bodies. The DTMs have gone through a series of stringent quality control checks to eliminate blunders and ensure the elevations of data points are blunder-free and all fall within specified accuracy tolerances. However, users of these DTM's have continued to express concern over perceived data quality based on the evidence of a regular "ridging" effect within many of the DTM files when viewed under certain conditions. Aware of similar phenomena found in DTMs produced by other organizations, Service New Brunswick (SNB) commissioned researchers in the department of Geodesy and Geomatics Engineering at the University of New Brunswick to investigate the respective requirements and alternatives for batch processing of the DTMs to remove this ridging effect. This report presents research examining specific technical issues and compensation approaches associated with the quantification and removal of the ridging phenomena found in SNB's Enhanced Topographic Database digital terrain data. Further, the issues of ridging will be investigated from points of view ranging from a data limitation issue to a visualization issues. Finally, up to five specific solutions will be examined and compared.