ABSTRACT:The quality and condition of a road surface is of great importance for convenience and safety of driving. So the investigations of the behaviour of road materials in laboratory conditions and monitoring of existing roads are widely fulfilled for controlling a geometric parameters and detecting defects in the road surface. Photogrammetry as accurate non-contact measuring method provides powerful means for solving different tasks in road surface reconstruction and analysis. The range of dimensions concerned in road surface analysis can have great variation from tenths of millimetre to hundreds meters and more. So a set of techniques is needed to meet all requirements of road parameters estimation. Two photogrammetric techniques for road surface analysis are presented: for accurate measuring of road pavement and for road surface reconstruction based on imagery obtained from unmanned aerial vehicle. The first technique uses photogrammetric system based on structured light for fast and accurate surface 3D reconstruction and it allows analysing the characteristics of road texture and monitoring the pavement behaviour. The second technique provides dense 3D model road suitable for road macro parameters estimation.

The complexity of retrieving and understanding the archaeological data requires to apply different techniques, tools and sensors for information gathering, processing and documenting. Archaeological research now has the interdisciplinary nature involving technologies based on different physical principles for retrieving information about archaeological findings. The important part of archaeological data is visual and spatial information which allows reconstructing the appearance of the findings and relation between them. Photogrammetry has a great potential for accurate acquiring of spatial and visual data of different scale and resolution allowing to create archaeological documents of new type and quality. The aim of the presented study is to develop an approach for creating new forms of archaeological documents, a pipeline for their producing and collecting in one holistic model, describing an archaeological site. A set of techniques is developed for acquiring and integration of spatial and visual data of different level of details. The application of the developed techniques is demonstrated for documenting of Bosporus archaeological expedition of Russian State Historical Museum.

ABSTRACT:The quality and condition of a road surface is of great importance for convenience and safety of driving. So the investigations of the behaviour of road materials in laboratory conditions and monitoring of existing roads are widely fulfilled for controlling a geometric parameters and detecting defects in the road surface. Photogrammetry as accurate non-contact measuring method provides powerful means for solving different tasks in road surface reconstruction and analysis. The range of dimensions concerned in road surface analysis can have great variation from tenths of millimetre to hundreds meters and more. So a set of techniques is needed to meet all requirements of road parameters estimation. Two photogrammetric techniques for road surface analysis are presented: for accurate measuring of road pavement and for road surface reconstruction based on imagery obtained from unmanned aerial vehicle. The first technique uses photogrammetric system based on structured light for fast and accurate surface 3D reconstruction and it allows analysing the characteristics of road texture and monitoring the pavement behaviour. The second technique provides dense 3D model road suitable for road macro parameters estimation.

Commission I, ICWG I/Vb KEY WORDS: Laboratory calibration, Test-field calibration, Self-calibration, Unmanned aerial vehicles (UAVs), Consumer cameras. ABSTRACT:Nowadays, aerial survey technology using aerial systems based on unmanned aerial vehicles (UAVs) becomes more popular. UAVs physically can not carry professional aerocameras. Consumer digital cameras are used instead. Such cameras usually have rolling, lamellar or global shutter. Quite often manufacturers and users of such aerial systems do not use camera calibration. In this case selfcalibration techniques are used. However such approach is not confirmed by extensive theoretical and practical research. In this paper we compare results of phototriangulation based on laboratory, test-field or self-calibration. For investigations we use Zaoksky test area as an experimental field provided dense network of target and natural control points. Racurs PHOTOMOD and Agisoft PhotoScan software were used in evaluation. The results of investigations, conclusions and practical recommendations are presented in this article.Recently becomes widely spread technology of aerial photography using aerial survey of systems based on unmanned aerial vehicles (UAVs) with a variety of digital cameras on Board. It can be "consumer" cameras with curtain-slit shutters, professional -with lamellar valves and devices with a central shutter. Among the producers and users of these aerial systems is often argued that to perform laboratory calibration, because the algorithms of modern digital photogrammetric systems (DPS) have the ability to perform self-calibration during the build process and adjustment of the triangulation. However, comprehensive studies, both theoretical and practical, in this direction was not carried out.At the Department of photogrammetry of MIIGAiK for many years conducted research of various methods of camera calibration. Below is the example of the research results of different calibration methods for camera Phase One IXU 150 mounted on the UAV Orlan-10.The results of laboratory and field calibration were compared.For laboratory calibration was used, the spatial test object and specialized software, developed at the Department of photogrammetry of MIIGAiK. (Fig. 1). Figure 1. Spatial test-object for laboratory camera calibration

Abstract. The method for calibration of cameras equipped with long focal distance lens is researched in the present work. The basic idea is as follows. The camera to be calibrated is placed on the tripod with panoramic head. The main condition of panorama shooting is that the rotation center of the camera and the front nodal point of the lens should be the same. The camera is calibrated based on a series of images of a test object with a common center of projection. Special software has been created for this purpose. The results of experimental studies on digital simulated data and for a real camera Hasselblad H4D-60 are presented. Results of these experiments show that use of common projection center allow to increase accuracy of the calibration process of the long focal length cameras.

Abstract. The Photogrammetry Department of MIIGAIK is developing the "Automated Information Generation System" (AIGS), which is designed to carry out automatic aerial survey of the object using a drone and obtain documents about the terrain (orthophotos, DMR, etc.). The system is based on a robotic mobile platform with a navigation system installed on it, a manipulator and a lifting portal. The manipulator has three degrees of freedom and is designed to manipulate the necessary when replacing automatically the battery in the UAV. The lifting portal is designed to load and fix UAVs on the platform. The robotic station is able to work both individually and as part of a network of stations. Complexes are evenly distributed on the territory where aerial photography or monitoring will be carried out. The operator is in the office, forms the job and sends it over the Internet channel, at the station. The job is run automatically on schedule.

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.

Since the end of 2016 the imagery data from the Russian remote sensing satellites including Resurs-P spacecrafts have become commercially available in Russia, the CIS and far abroad. In this article we consider the possibility of automatic generation of digital terrain models using a stereo “fortuitous” image pair derived from two different Resurs-P spacecrafts. For the analysis we used two different date panchromatic images of the same area of Voronezh region in Russia. The images were obtained by the Geoton-L1 sensor of two different spacecrafts