UAV equipped with a multi-camera imaging system can obtain oblique images from almost any angle of view. The integration of UAV photogrammetry and oblique imaging will significantly increase the range of image data obtained from low altitudes for the implementation of photogrammetry and remote sensing studies. In recent years, this technique has developed significantly and become essential for the photogrammetric community. Similar to professional photogrammetric systems, it was possible to register footprints and facades of buildings in an urban environment. The next stage in the development of low-level photogrammetry was the development of data from UAV oblique images, where image data was acquired from side-facing directions. UAV photogrammetry produces extremely high spatial resolution images in the short term for topography mapping, 3D modeling, or point cloud classification. Recently, the use of unmanned aerial vehicles (UAVs) equipped with a compact digital camera has significantly accelerated and reduced the costs of image acquisitions. However, these solutions are very expensive and adapted to traditional aerial photogrammetry. Multisite imaging systems Microsoft Vexcel UltraCam and ZI Imaging DMC generating virtual images were developed. Professional photogrammetry cameras are capable of mapping large areas. Oblique images can be used to fill the existing gap between aerial images and terrestrial images. Thanks to this, it is possible to simplify the identification and interpretation of some objects that are difficult to recognize from the unique perspective view. In comparison with classical photogrammetry, nadir and oblique imaging technology allow for the registration of footprints and building facades. Multi-camera systems, and the nadir and oblique images acquired by them, are of increasing importance in professional aerial photogrammetry. The paper also presents the effectiveness of existing transformation models for images with a large coverage subjected to initial geometric correction due to the influence of distortion. The experimental results showed that the proposed solution was reliable and accurate for the mapping purpose. In the proposed approach, the images are combined in such a way that the final image has a joint centre of projections of component images. Next, the method of image alignment using the feature image matching algorithms was presented. As part of the research, a set of cameras was calibrated to determine the interior orientation parameters (IOPs). The acquired images will be mosaicked in order to limit the total number of images for the mapped area. Thanks to this, it will be possible to increase the ground coverage area and to acquire image data effectively. As part of the research work, a multi-camera system consisting of several cameras was designed to increase the total Field of View (FOV). The approach proposed in this paper is based on using several head cameras to enhance the imaging geometry during one flight of UAV for mapping. The use of a multi-camera system will significantly reduce one of the main UAV photogrammetry limitations (especially in the case of multirotor UAV) which is a reduction of the ground coverage area, while increasing the number of images, increasing the number of flight lines, and reducing the surface imaged during one flight. As in professional photogrammetric systems, it is possible to record footprints of tree crowns and other forms of the natural environment. Imagery data was obtained from side-facing directions. The next stage in the development of photogrammetry from low altitudes was the development of the imagery data from UAV oblique images. In the last few years, it has been possible to observe a considerable increase in the use of unmanned aerial vehicles (UAV) equipped with compact digital cameras for environment mapping. MHRA 'GSD - Ground Sampling Distance', All Acronyms, 26 June 2023, Bluebook All Acronyms, GSD - Ground Sampling Distance (Jun. GSD - Ground Sampling Distance, All Acronyms, viewed June 26, 2023, MLA All Acronyms. Retrieved June 26, 2023, from Chicago All Acronyms. Please use the following to spread the word:ĪPA All Acronyms.
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