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EN
The purpose of this article is to determine the potential of imaging obtained using an unmannedaerial platform (UAV) to create a digital model of terrain for aggregate heaps (DTMs). In addition, the intermediategoal is to carry out an independent accuracy check of the calculated 3D model, which in the study will be referred to an independent measurement using GNSS technology. The research object was a heap of natural aggregate with irregular shape and height differences up to 11 meters. Three point clouds with different detail parameters were generated from the acquired images. For further analysis, a point cloud with the best ratio of terrain reflection accuracy to the calculated RMSE value was selected. Independent control of 3D model accuracy was based on seven heap control points measured in the field and the same points generated on the 3D model . The deviations of several centimeters between field control points and points from the model may indicate the great potential of UAV technology and the possibility of its use in various engineering tasks.
EN
The use of unmanned aerial vehicles is becoming more and more popular for making high-altitude and orthophotomap models. In this process, series of images are taken at specific intervals, usually lasting several seconds. This article demonstrates the ability to make models and orthophotomaps from dynamic images – video recorded from UAV. The best mutual coverage of photographs was indicated (95–96%) and the photogrammetric process for joining images was presented, through the creation of a point cloud to obtain a digital terrain model and the orotfotomap. The data was processed in 150 different variants and the usefulness of this method was demonstrated. Problems and errors that may occur during the processing of recorded image data are also described.
EN
Drones (UAV, unmanned aerial vehicles), along with the development of technology, are more and more used to solve scientific problems. This is particularly true for Earth and environmental sciences, including geomorphology, structural geology and sedimentology. In addition to hardware and technical issues, the parallel development of photogrammetric programs and systems for increasing the precision of drone flight path measurements are contributing to the ability to create land maps as well as 3D models with increasing accuracy. This paper describes the possibility of using drones carrying a non-metric RGB camera or thermal sensor, for the study of morphological changes of terrain based on the analysis of photographs, orthophotos and 3D models. Test studies were carried out in the valleys of the Warta and Pilica rivers in the area of artificial reservoirs, as well as on moraine uplands – mainly in open-pit mines. The results of these tests show that proper flight planning and configuration of the aircraft’s camera work guarantee obtaining the right data necessary for later processing in software, such as GIS. The most important parameters included: determination of the area of the planned raid, flight altitude above ground level, aircraft speed, camera repetition rate and accuracy of the generated material.
PL
Drony (bezzałogowe statki powietrzne – BSP) wraz z rozwojem technologii są coraz częściej wykorzystywane do rozwiązywania problemów naukowych. Dotyczy to w szczególności nauk o Ziemi i środowisku, w tym geomorfologii, geologii strukturalnej i sedymentologii. Obok kwestii sprzętowo-technicznych, równoległy rozwój programów fotogrametrycznych oraz systemów służących do zwiększania precyzji pomiarów przebiegu lotu dronów, przyczyniają się do możliwości tworzenia zarówno map terenu, jak i modeli 3D o coraz większej dokładności. W niniejszej pracy opisano możliwości wykorzystania dronów wyposażonych w niemetryczną kamerę RGB lub sensor termalny do badania przemian morfologicznych terenu na podstawie analizy zdjęć, ortofotomap i modeli 3D. Badania testowe przeprowadzono w dolinach Warty i Pilicy w rejonie sztucznych zbiorników oraz na wysoczyznach morenowych i płaskowyżach – głównie w kopalniach odkrywkowych. Wynika z nich, że odpowiednie zaplanowanie lotu i konfiguracja pracy kamery statku powietrznego gwarantują uzyskanie właściwych danych niezbędnych do późniejszej obróbki w oprogramowaniu, np. GIS. Do najważniejszych parametrów zaliczono: określenie obszaru planowanego nalotu, wysokość lotu nad poziomem gruntu, prędkość statku powietrznego, prędkość powtarzalności kamery oraz dokładność generowanego materiału.
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