Московский государственный университет геодезии и картографии (МИИГАиК), г. Москва, 2 Государственный исторический музей (ГИМ), г. Москва 3 Евразийский отдел Германского археологического Института, г.Берлин 4 Государственный научно исследовательский институт авиационных систем (ГосНИИАС), г. Москва 5 Институт древнейшей истории университета Фридрих-Александра, г. Ерланген-Нюрнберг
The geodesic method of the characteristic points’ coordinates measuring is the main method for urban cadastral works (including complex ones). Implementing digital aerial photography cameras, unmanned aerial vehicles and improving hardware and software systems for image processing enable achieving the necessary accuracy (10 cm in plan coordinates) when using the photogrammetric method. Stereo models and orthomosaics are the output products of the mentioned technology using for measurements. Due to the fact that at creating an orthomosaic, additional image conversion processes are required and they may cause the loss of accuracy and the presence of perspective distortions of high-altitude objects, orthomosaics cannot be used to determine the coordinates of characteristic points. It is proposed to use a stereo model, i.e. a three-dimensional high-precision image of the terrain, as a product for measuring characteristic points in cadastral works. The experiments’ results and the experience of production work proved that the accuracy of geodesic and stereophotogrammetric methods in the real estate cadaster are equal. At the same time, the mentioned method has some advantages
A simple and effective calibration technique for the new optoelectronic dual channel precipitation gauge (ODPG) is developed. The main result of the calibration procedure is minimization of the particle size measurement errors that depend on the optical system aberrations. Laboratory tests are carried out for generation of the calibration parameters, and for confirmation of the first theoretical evaluations performed for the device technical characteristics. The ODPG field tests (measurement of the rain parameters) demonstrate high degree of reliability of the developed design -steady operation of optical and electronic systems after transportation, efficiency of algorithms used for acquisition and processing of measurement data and calculation of the precipitation parameters.
Abstract. It is well-known that in order to obtain up-to-date spatial information of rapidly developing cities, aerial photography is carried out almost annually. This work is devoted to the joint aerial triangulation of aerial urban area photographs obtained at different times. The main problem of the joint aerial triangulation of different-time images is the process of tie points detection. In this paper it is proposed to search for tie points exclusively on the roofs of building since they are least susceptible to change over time. In order to do this, the roofs of buildings are highlighted on the original aerial photographs via the Unet neural network and then tie points are detected within these areas. The technology made it possible to improve the quality of aerial triangulation: remove photogrammetric gaps in the given block, increase the number of tie points, reduce the processing time by 25% without increasing computing requirements. This approach to the search for tie points made it possible to increase the efficiency of aerial triangulation not only when processing archival and current images together, but also when processing only the results of actual aerial photography.
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