In addition, we analysis the repeatability of MLC leaves position accuracy between 10 dynalog files of two accelerators. Methods: A pre-designed MLC format files named PMLC for two Varian accelerators, the dynamic treatment log files were recorded 10 times on a different date, and be converted into the MLC format files named DMLC, compared with the original plan PMLC, so we can analysis two files for each leaf position deviation. ![]() Objective: To explorer the application in detection the position accuracy of the multileaf collimator of Varian accelerator with dynamic therapy log files. Li Changhu Xu Liming Teng Jianjian Ge Wei Zhang Jun Ma Guangdong International Nuclear Information System (INIS) The application in detection the position accuracy of the multi-leaf collimator of Varian linear accelerator with dynamic therapy log files It was found that the propose technique is highly possible for positional accuracy improvement of legacy spatial datasets. The existing high accuracy dataset known as National Digital Cadastral Database (NDCDB) is then used as bench mark to validate the results. The main focus of this study is to describe a method of angular based Least Square Adjustment (LSA) for PAI process of legacy dataset. The improved dataset should be further treated to minimize inherent errors and fitting to the new accurate dataset. However, by merely integrating both datasets will lead to a distortion of the relative geometry. Integration of legacy dataset and higher accuracy dataset like GNSS observation is a potential solution for improving the legacy dataset. With the growth of spatial based technology especially Geographical Information System (GIS) and Global Navigation Satellite System (GNSS), the PAI campaign is inevitable especially to the legacy cadastral database. This actual position relates to the absolute position in specific coordinate system and the relation to the neighborhood features. Positional Accuracy Improvement (PAI) is the refining process of the geometry feature in a geospatial dataset to improve its actual position. The attitude determination error of a satellite still restricts its positioning accuracy.Ĭadastral Database Positional Accuracy Improvement ![]() Precise simulation calculations show that image positioning accuracy of super low altitude remote sensing satellites is not obviously improved. These parameters include: orbit determination accuracy, attitude determination accuracy, camera exposure time, accurately synchronizing the reception of ephemeris with attitude data, geometric calibration and precise orbit verification. The exact line-of-sight rebuilding of each detection element and this direction precisely intersecting with the Earth's elliptical when the camera on the satellite is imaging are both ensured by the combined design of key parameters. The use of engineering data in design for achieving image positioning accuracy is discussed in this paper based on the principles of the photogrammetry theory. Image Positioning Accuracy Analysis for Super Low Altitude Remote Sensing Satellitesĭirectory of Open Access Journals (Sweden)įull Text Available Super low altitude remote sensing satellites maintain lower flight altitudes by means of ion propulsion in order to improve image resolution and positioning accuracy.
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