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Przedwyrównawcze wykrywanie błędów grubych w pomiarze środków rzutu dla aerotriangulacji

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Warianty tytułu
EN
Pre-adjustment detection of gross errors in GPS measurement for aerial triangulation
Języki publikacji
PL
Abstrakty
PL
W artykule przedstawiono metodę przedwyrównawczego wykrywania błędów grubych w pomiarze środków rzutu oraz wyniki badań nad skutecznością metody. Metoda opiera się na analizie różnic wyników dwóch niezależnych wyznaczeń: wyniku otrzymanego z wyrównania aerotriangulacji bez uwzględnienia pomiaru środków rzutu i wyniku pomiaru środków rzutu wykonanego podczas nalotu fotogrametrycznego. Metoda została przetestowana na 26 blokach, które opracowano w kraju w ciągu kilku ostatnich lat.
EN
Author presents in the article a method for pre-adjustment detection of gross errors in the measured projection centers. The method is based on analyzing differences of the results of two independent measurements: one obtained from adjustment of aerial triangulation without determining projection center and the second, which considers measurement of projection centers during photogrammetric mission. The technique of measuring projection centers for aerial triangulation with the use of GPS method exists since 1993 and is still improved, as far as precision and reliability is concerned. In standard work real verification of quality of measurement is done only at the stage of adjustment of aerial triangulation. The main aim of adjustment is to obtain the result with the highest probability, and it depends on removing gross errors from calculations. As it can be seen from practice, this condition is difficult to fulfilI; the procedure is time-consuming and not fully efficient. Detection and location of gross errors is difficult due to improper division of GPS measurements into profiles, multiple gross errors, mistakes in GPS measurement, or insufficient reliability level of network. In the proposed method distances between neighboring points of profile are compared, obtained from two independent determinations. In addition, increments of coordinates between neighboring projection centers are also compared. These differences, which prove to be higher than triple mean error, are considered as gross errors. The method has been tested on 26 blocks, which were prepared during last years in Poland. The aim of testing was to verify magnitude and number of gross errors of projection centers, which remain in the network after applying the method. Analysis of non-detected gross errors was done using W. Baarda data snooping method, i.e. the method of standardized residuals. In the test blocks at a, scale of 1 : 13 000 level of detectability of gross errors in the measured projections centers was ca. 6 times mean error of coordinate of projection center, while for 1: 26 000 photographs it was 12 times mean error, respectively. The method enables to detect in one calculation step all mistakes and most of gross errors, which results in decreasing number of adjustment cycles in cases, when many data errors exist.
Rocznik
Strony
89--102
Opis fizyczny
Bibliogr. 17 poz., tab.
Twórcy
autor
  • Instytut Geodezji i Kartografii
Bibliografia
  • [l] Adamczewski Z., 2004, Rachunek wyrównawczy w 15 wykładach, Oficyna Wydawnicza Politechniki Warszawskiej.
  • [2] Casca J., 1987, A reliability criterion for geodetic network design, Zeszyty Naukowe, Akademia Gómiczo-Hutnicza, Geodezja 95.
  • [3] Ebadi H., 1997, A comprehensive study on GPS assisted aerial triangulation, Dissertation, The University of Calgary.
  • [4] EI-Hakim S. F., Ziemann H., 1984, A step-by-step strategy for gross error detection, Photogrammetric Engineering & Remote Sensing, Vol. 50, No 8, June 1984.
  • [5] Ellum C., El-Sheimy N., 2005, The common adjustment of GPS and photogrammetric measurements, FIG Working Week 2005 and GSDI8, Cairo.
  • [6] Foerstner W., 1985, The reliability of block triangulation, Photogrammetric Engineering & Remote Sensing, Vol. LI, 8, August 1985.
  • [7] Foerstner W., 1987, Reliability analisis of parameter estimation in linear models with applications to mensuration problems in computer vision, Computer Vision, Graphics, and Image Processing 40, 273-310.
  • [8] Greening W. J. T., Schickler W., Thorpe A. J., 2000, The proper use of directly observed orientation data: Aerial triangulations is not obsolete, 2000 ASPRS Annual Conference, Washington, DC.
  • [9] Gruen A., 1980, Precision and reliability aspects in close-range photogrammetry. Int. Arch. Photogrammetry, 11(23B) 378-391.
  • [10] Jacobsen K., 1996, A new approach of combined block adjustment using GPS-satellite constellation, ISPRS Congress, Vienna 1996.
  • [11] Kruck E., 2004, Bingo 5.1 User's manual, Geoinformatics & Photogrammetric Eingeneering.
  • [12] Lamparski J., 2001, NAVSTAR GPS Od teorii do praktyki, Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie.
  • [13] Nowak E., 1986, Teoretyczne i praktyczne aspekty geodezyjnego rachunku wyrównawczego, Wydawnictwa Politechniki Warszawskiej, Prace Naukowe, Geodezja, z. 27.
  • [14] Prószyński W., Kwaśniak M., 2002, Niezawodność sieci geodezyjnych, Oficyna Wydawnicza Politechniki Warszawskiej.
  • [15] Schmitz M., Wubbena G., Bagge A., Kruck E., 2001, Benefit of rigorous modeling of GPS in combined AT/GPS/IMU - bundle block adjustment, OEEPE Worshop "Integrated Sensor Orientation", September 200l, Hannover.
  • [16] Triggs B., McLauchlan P., Hartley R., Fitzgibbon A., 2000, Bundle adjustment - A modern synthesis, Vision Algorithms: Theory and Practice, vol. 1883 p. 298-372.
  • [17] Wiśniewski Z., 2005, Rachunek wyrównawczy w geodezji (z przykładami), Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0074-0016
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