Wyniki wyszukiwania - BazTech

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Impact of radiometric correction on the processing of UAV images

Kędziorski Piotr, Kogut Tomasz, Oberski Tomasz

Zeszyty Naukowe Akademii Morskiej w Szczecinie

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2023

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nr 73 (145)

5--14

EN

Radiometric correction is a process that is often neglected when developing unmanned aerial vehicle (UAV) images. The aim of the work was to test the radiometric correction of images taken from a Parrot Sequoia+ camera mounted on UAV. Therefore, a script was written in Matlab environment to enable radiometric correction of the obtained images. The images were subjected to the correction process using the Matlab script and the commercial software Pix4D. The results were compared, and the study found a significant improvement in the radiometry in both cases. The computational process eliminated the influence of variable in-flight insolation caused by cloud cover. The software developed for the article was found to be as good as the commercial one.

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Detecting abuses in archaeological areas using k-mean clustering analysis and UAVs/drones data

Qubaa Abdalrahman, Al-Hamdani Saja

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

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2021

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Vol. 30, No. 1

182--194

EN

Unmanned aerial vehicles (UAVs) or drones have made great progress in aerial surveys to research and discover heritage sites and archaeological areas, particularly after having developed their technical capabilities to carry various sensors onboard, whether they are conventional cameras, multispectral cameras, and thermal sensors. The objective of this research is to use the drone technology and k-mean clustering algorithm for the first time in Nineveh Governorate in Iraq to reveal the extent of civil excesses and random construction, as well as the looting and theft that occur in the archaeological areas. DJI Phantom 4 Pro drone was used, in addition to using the specialized Pix4D program to process drone images and make mosaics for them. Multiple flights were performed using a drone to survey multiple locations throughout the area and compare them with satellite images during different years. Drone’s data classification was implemented using a k-means clustering algorithm. The results of the data classification for three different time periods indicated that the percentage of archaeological lands decreased from 90.31% in 2004 to 25.29% in 2018. Where the work revealed the extent of the archaeological area’s great violations. The study also emphasized the importance of directing authorities of local antiquities to ensure the use of drone’s technology to obtain statistical and methodological reports periodically to assess archaeological damage and to avoid overtaking, stolen and looted of these sites.

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Application of unmanned aerial vehicle (UAV) to photogrammetric developments

Naus K., Angel A.

Zeszyty Naukowe Akademii Marynarki Wojennej

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2017

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R. 58 nr 4 (211)

113--127

EN

The article presents the possibility of using unmanned aerial vehicle to perform selected photogrammetric studies. The first part shows the mathematical basis of aerotriangulation based on a series of images. Next, a photogrammetric system consisting of an unmanned aerial vehicle (UAV) equipped with a camera and specialized software for recording and processing images was presented. The main part shows the stages of the photogrammetric processing from the images i.e. mission plan of the incursion, creation of a thick cloud of points and a three-dimensional model. It also shows the analysis of the quality of the developed orthophotomap and a numerical model of the surface area, including photopoints by comparing them to orthographic images that are shared on Google. The final part contains generalized conclusions derived from the conducted research.

PL

W artykule przedstawiono możliwość wykorzystania bezzałogowych statków powietrznych do wykonywania wybranych opracowań fotogrametrycznych. W pierwszej części przedstawiono podstawę matematyczną aerotriangulacji wykonywanej na podstawie serii zdjęć. Następnie zaprezentowano wykorzystany podczas badań system fotogrametryczny złożony z bezzałogowego statku powietrznego (BSP) wyposażanego w kamerę oraz specjalistyczne oprogramowanie służącego do rejestracji i przetwarzania zdjęć. W zasadniczej części przedstawiono etapy procesu wykonywania opracowania fotogrametrycznego ze zdjęć, tj. plan misji wykonywanego nalotu, tworzenia zagęszczonej chmury punktów oraz trójwymiarowego modelu. Ukazano w niej także analizę jakości opracowanej ortofotomapy i numerycznego modelu powierzchni terenu, z uwzględnieniem fotopunktów, przez porównywanie ich z ortoobrazami udostępnianymi w serwisie Google. Część końcowa zawiera uogólnione wnioski wyprowadzone na podstawie przeprowadzonych badań.