{"title":"AN ALGORITHM FOR THE CALIBRATION OF AERIAL PHOTOGRAPHIC SYSTEMS","authors":"S. O. Ihemadu","doi":"10.1111/J.1477-9730.1982.TB00176.X","DOIUrl":null,"url":null,"abstract":"The algorithm presented assumes a preliminary determination of the elements of inner orientation and bases its mathematical model on the collinearity condition, from which projective equations are derived. Linearisation of condition equations is based on Taylor's expansion, whilst the subsequent solution follows iteration cycles. The method aims to derive composite corrections to image coordinates, with the aid of test field data. \n \n \n \nResume \n \nL'auteur presente un algorithme ou l'on suppose determines au prealable les elements d'orientation interne. La modelisation mathematique s'appuie sur les conditions de co-linearite et sur les equations qui en resultent en projection. On linearise les equations de conditions en utilisant un developpement en serie de Taylor, et l'on obtient la solution correspondante par iteration. La methode vise a apporter des corrections aux coordonnees images en utilisant les donnees d'un polygone d'essai. \n \n \n \nZusammenfassung \n \nBei dem dargestellten Algorithmus wird die vorlaufige Bestimmung der Elemente der inneren Orientierung angenommen, und das mathematische Modell basiert aufder Kollinearitatsgleichung, woraus perspektive Gleichungen abgeleitet werden. Die Linearisierung der Bedingungsgleichungen erfolgt durch Anwendung der Taylor-Reihe, was fur die folgenden Berechnungen einen iterativen Prozess bedingt. Mit der Methode wird angestrebt, Bildkoordinaten mit Hilfe von Testfelddaten zu verbessern.","PeriodicalId":56094,"journal":{"name":"Photogrammetric Record","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2006-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/J.1477-9730.1982.TB00176.X","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photogrammetric Record","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1111/J.1477-9730.1982.TB00176.X","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
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Abstract
The algorithm presented assumes a preliminary determination of the elements of inner orientation and bases its mathematical model on the collinearity condition, from which projective equations are derived. Linearisation of condition equations is based on Taylor's expansion, whilst the subsequent solution follows iteration cycles. The method aims to derive composite corrections to image coordinates, with the aid of test field data.
Resume
L'auteur presente un algorithme ou l'on suppose determines au prealable les elements d'orientation interne. La modelisation mathematique s'appuie sur les conditions de co-linearite et sur les equations qui en resultent en projection. On linearise les equations de conditions en utilisant un developpement en serie de Taylor, et l'on obtient la solution correspondante par iteration. La methode vise a apporter des corrections aux coordonnees images en utilisant les donnees d'un polygone d'essai.
Zusammenfassung
Bei dem dargestellten Algorithmus wird die vorlaufige Bestimmung der Elemente der inneren Orientierung angenommen, und das mathematische Modell basiert aufder Kollinearitatsgleichung, woraus perspektive Gleichungen abgeleitet werden. Die Linearisierung der Bedingungsgleichungen erfolgt durch Anwendung der Taylor-Reihe, was fur die folgenden Berechnungen einen iterativen Prozess bedingt. Mit der Methode wird angestrebt, Bildkoordinaten mit Hilfe von Testfelddaten zu verbessern.
期刊介绍:
The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline.
Relevant topics include, but are not restricted to:
- Photogrammetric sensor calibration and characterisation
- Laser scanning (lidar)
- Image and 3D sensor technology (e.g. range cameras, natural user interface systems)
- Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification)
- Mobile mapping and unmanned vehicular systems (UVS; UAVs)
- Registration and orientation
- Data fusion and integration of 3D and 2D datasets
- Point cloud processing
- 3D modelling and reconstruction
- Algorithms and novel software
- Visualisation and virtual reality
- Terrain/object modelling and photogrammetric product generation
- Geometric sensor models
- Databases and structures for imaging and 3D modelling
- Standards and best practice for data acquisition and storage
- Change detection and monitoring, and sequence analysis