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A rigorous approach to comprehensive...
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May, Nora Csanyi.
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A rigorous approach to comprehensive performance analysis of state-of-the-art airborne mobile mapping systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A rigorous approach to comprehensive performance analysis of state-of-the-art airborne mobile mapping systems./
作者:
May, Nora Csanyi.
面頁冊數:
237 p.
附註:
Adviser: Dorota Grejner-Brzezinska.
Contained By:
Dissertation Abstracts International68-12B.
標題:
Geodesy. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3292765
ISBN:
9780549359456
A rigorous approach to comprehensive performance analysis of state-of-the-art airborne mobile mapping systems.
May, Nora Csanyi.
A rigorous approach to comprehensive performance analysis of state-of-the-art airborne mobile mapping systems.
- 237 p.
Adviser: Dorota Grejner-Brzezinska.
Thesis (Ph.D.)--The Ohio State University, 2008.
This dissertation provides a comprehensive analysis of the achievable point positioning accuracy of the state-of-the-art airborne mobile mapping systems supported by direct georeferencing. The discussion is concerned with airborne LiDAR and digital camera systems, medium- and large-format digital cameras, in particular. The effects of the error sources are analyzed both individually, and a comprehensive accuracy assessment tool is developed that considers all the major potential error sources, and consequently reliable assessment of the achievable point positioning accuracy can be obtained.
ISBN: 9780549359456Subjects--Topical Terms:
550741
Geodesy.
A rigorous approach to comprehensive performance analysis of state-of-the-art airborne mobile mapping systems.
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The purpose of the detailed individual analysis of the major error sources is to show the individual contribution of each error source to the overall error budget as a function of flight parameters. The impact of both bias errors and random errors are analyzed, and error formulas and figures illustrate the effect of each error source on the point positioning accuracy.
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The comprehensive analysis of the achievable point positioning precision considers all the major error sources with full dispersion matrix of the errors (if available) via rigorous analytical derivations using the law of error propagation. For LiDAR systems the error propagation is based on the LiDAR equation. In the photogrammetric community, space intersection based on overlapping images has typically been computed with least-squares adjustment based on the Gauss-Markov model, which only considers the errors in the image coordinate measurements. In this dissertation a more suitable model, the Gauss-Helmert model that allows the consideration of the full dispersion matrix of the various random error sources is implemented and compared with the usual Gauss-Markov model-based solution, and is shown to improve the precision of the intersected point coordinates.
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Based on the derived formulas example accuracy plots are presented for both typical LiDAR and camera systems with various grade IMU systems. These plots can be used as guidelines for designing a multi-sensor system for data acquisition. Furthermore, other useful analysis tools are also developed, such as accuracy analysis bar charts and performance metrics to further help in system design and flight planning.
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Besides the accuracy analysis, various methods are also introduced to improve the accuracy of specific components of the overall error budget, and consequently the point positioning accuracy. For example, a solution to a specific calibration problem, a LiDAR boresight misalignment calibration method is proposed and tested, and an optimal ground control target design and methodology for LiDAR data QA/QC is proposed. Furthermore, as a supporting component for the LiDAR boresight misalignment calibration method and for other tasks, a Fourier series-based surface modeling method is also implemented and tested.
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