Journals / Harita Dergisi / 2018 / Cilt: 84 - Sayı: 159

Precision Analysis of The Stereo Image Orientation

Stereo Görüntü Yöneltmesinde Duyarlılık Analizi

Pages
36–43
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Effect of each orientation parameter to positional sensitivity is examined and interpreted by implementing error propagation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:GPS/IMU system can provide orientation parameters directly by measurements performed during the flight.
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Key Findings & Data:In this context positional sensitivity is determined on 10 cm GSD (Ground Sample Distance) stereo images by computational practice without GCP and tested the validity of performed sensitivity analysis by comparing wtih the results obtained by adjustment.
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Conclusion & Impact:Effect of each orientation parameter to positional sensitivity is examined and interpreted by implementing error propagation.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

GPS/IMU system can provide orientation parameters directly by measurements performed during the flight. However especially if direct georeferencing is performed, knowledge of the positional accuracy would be important. Positional sensitivity is determined generally by using GCP (Ground Control Point) in photogrammetric projects. But GCP construction is cost and it is not possible to find in enough number anytime. Thus situated it is possible to compute positional sensitivity by error propagation. In this study, photogrammetric mathematical model is viewed, positional sensitivity is computed by implementing error propagation on collinearity equations. In this context positional sensitivity is determined on 10 cm GSD (Ground Sample Distance) stereo images by computational practice without GCP and tested the validity of performed sensitivity analysis by comparing wtih the results obtained by adjustment. Effect of each orientation parameter to positional sensitivity is examined and interpreted by implementing error propagation.

Özet

GPS/IMU (Global Positioning System/Inertial Measurement Unit) sistemi, uçuş sırasında gerçekleştirilen ölçümler ile dış yöneltme elemanlarını doğrudan sağlayabilmektedir. Ancak özellikle doğrudan yöneltme yapılacaksa konum doğruluğunun bilinmesi önem tanışmaktadır. Fotogrametrik projelerde konum duyarlılığı genelde ampirik olarak YKN (Yer Kontrol Noktası) kullanılarak belirlenmektedir. Ancak YKN inşaası maliyetlidir ve her proje için yeterli sayıda bulunması her zaman mümkün olmamaktadır. Bu durumda konum duyarlılığını hata yayılma yasası ile hesaplamak mümkündür. Bu çalışmada fotogrametrik matematik modeli incelenmiş, izdüşüm denklemlerine hata yayılma yasası uygulanarak konum duyarlılığı hesaplanmıştır. Bunun yanında her bir yöneltme parametresinin konum duyarlılığına etkisi incelenmiş ve yorumlanmıştır. Bu kapsamda 10 cm YÖA (Yer Örnekleme Aralığı)’na sahip stereo görüntüler üzerinde hesapsal bir uygulama ile YKN olmadan konum hassasiyeti belirlenmiş ve dengeleme sonuçlarından elde edilen sonuçlar ile karşılaştırılarak yapılan duyarlılık analizinin kullanılabilirliği test edilmiştir.

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Cite This Article

KİRACI, A. C., TOZ, G. (2018). Precision Analysis of The Stereo Image Orientation. Harita Dergisi, Cilt: 84 - Sayı: 159, 36–43. https://ajindex.com/articles/160128

References (9)

  1. American Society for Photogrammetry and Remote Sensing (2004), Manual of Photogrammetry Fifth Edition.
  2. Burman, H., (2002),
  3. Image Orientation By GPS And IMU, Department Of Geodesy And Photogrammetry, The Royal IMUtitute Of Technology, Stockholm, Sweden, Commission III, Working Group 1 (2002)
  4. Chiang, K., Duong, T. T., Liao, J., (2011), The Performance Analysis of a Real-Time Integrated IMU/GPS Vehicle Navigation System with Abnormal GPS Measurement Elimination. Derenyi, E. E., (1996), Photogrammetry: The Concepts. Ellum, C., El-Sheimy, N., (2005), The Common Adjustment of GPS and Photogrammetric Measurements, From Pharaohs to Geoinformatics FIG Working Week 2005 and GSDI-8. Ellum, C., (2012), Integration Of Raw Gps Measurements Into A Bundle Adjustment, Mobile Multi-sensor Systems Research Group, Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada. Fournier, H., Ms.Thesis July (2009), Automated Processing of GPS/MEMS-IMU Data for Position, Velocity and Attitude Determination Grewal, M. S., Weill, L. R., Andrews, A. P., (2007),
  5. Global Positioning Systems, Inertial Navigation and Integration, 2nd Edition,
  6. Wiley Honkavaara, E., (2004), In-Flıght Camera Calıbratıon For Dırect Georeferencıng, Finnish Geodetic IMUtitute, Department of Remote Sensing and Photogrammetry, Finland. Kim, Y. S., Lee, Dong Min Hong, Soon, H., Chung, C., Sik, L., Kang, W., (2008), Coastline Change Analysis Using RTK-GPS And Aerial Photo, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B8. Kiracı, A. C., Toz, F. G., (2016), Theoretical Analysis Of Positional Uncertainty In Direct Georeferencing, 2016 XXIII ISPRS Congress, 12–19 July 2016,
  7. Prague, Czech Republic Koch, K. R., (1987), Parameter Estimation and Hypothesis Testing in Linear Models, Berlin: Springer. Kruck, E., (2001), Benefit Of Rigorous Modeling Of GPS İn Combined AT/GPS/IMU−Bundle Block Adjustment, OEEPE Workshop “Integrated Sensor Orientation”. Kutoğlu, H., Görmüş, S., Dengeleme Ders Notları, http://jeodezi.beun.edu.tr/gormus/files/2013/0 2/dengeleme_hesab%C4%B1_1_ders_notlar %C4%B1.pdf (08.10.2015)
  8. Lee, I. S., Ge, L., (2006), The performance of RTK-GPS for surveying under challenging environmental Conditions, Earth Planets Space, 58, 515–522
  9. Legat, K., Skaloud, J., Schaer, P., (2013), Real- Time Processing Of GPS/IMU Data For On-The-Fly Quality Control İn Airborne Mobile Mapping. Legat, K., Skaloud, J., Schaer, P., (2006), Real-t