Assessing the geometric accuracy of UAV-based orthophotos

Daramola, Olagoke E.; Olaleye, J. B.; Ajayi, Oluibukun Gbenga; Olawuni, Oladayo

doi:10.4314/sajg.v6i3.9

Cited by 11 publications

(6 citation statements)

References 5 publications

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“…Low-overlapping UAV images can be used to accurately generate photogrammetric products, but this produces models with visible gaps. Topographical maps can be updated and revised using UAS photos with a low number of GCPs and a high percentage of forward and side overlap (Daramola et al, 2017). Image overlaps are affected by the external flight conditions (Graça et al, 2014).…”

Section: Asia Europe America Australiamentioning

confidence: 99%

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Rabiu

Ahmad²

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Digital photogrammetry is an effective way for gathering data for DEM extraction, and recent advances in recording techniques and data processing have allowed for higher resolution and faster rapid generation of photogrammetric 3D models result. The model has a spatial and spectral high-resolution advantage with good geometrical positioning accuracy. The DEM quality is the primary requirement for any application and must satisfy users’ requirement. The DEM quality is usually affected by several factors during acquisition and processing stages. Considerable researches have been conducted on several parameters influencing the DEM accuracy. The review focused on discussions on topics related to unmanned aerial vehicle DEM accuracy assessment. Five parameters were considered: UAV technology; UAV Georeferencing; UAV and computer vision; UAV and LiDAR; and UAV flight parameters. Summary of the methods, their strength, weakness and regions of the most recent articles are presented. Based on this review conclusion was drawn on the UAV DEM accuracy challenging issues that need more attention from the geospatial community and suggestions for future work are offered. But there might be other possible factors that are not treated in this paper.

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Section: Asia Europe America Australiamentioning

confidence: 99%

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Rabiu

Ahmad²

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Qualitative assessment of orthophotos involve visually inspecting them. Daramola et al, (2017) qualitatively assessed the accuracy of orthophoto by overlaying measured features on the digitised features. Visual assessment of the overlaid feature was done by comparing the digitised feature on orthomosaic with the area computed through conventional survey.…”

Section: Accuracy Assessment Of Orthophotographsmentioning

confidence: 99%

Assessment of positional accuracies of UAV-based coordinates derived from orthophotos at varying times of the day- A case study

Mantey¹,

Aduah²

2022

SA J of Geomatics

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Positional accuracy is one of the important factors which determines acceptability of survey work. Apart from the equipment and method used which affect the accuracy of surveys, time of the day in which the equipment operates can equally affect the accuracy of a survey. In this study, the performance of Unmanned Aerial Vehicle (UAV) surveys as well as the appropriate time in the day to apply the technology in Tarkwa, Ghana, has been investigated. The paper assessed the positional accuracies of ground features on UAV-based orthophotos (with emphasis on horizontal coordinates), captured at different times of the day, keeping all other parameters unchanged for capturing, production and processing of all orthophotos each time. The positional accuracies of selected features on the orthophotos were determined by calculating the Root Mean Square Error (RMSE) between the feature coordinates on the ground measured with GNSS Receivers and those derived from the UAV-based orthophotos. The results show that coordinates derived from orthophotos captured in the morning, with average temperatures between 21 ℃ and 23 ℃, and average wind speed of not more than 10 m/s, produced images with the highest positional accuracies, with RMSE values between 0.0047 m and 0.0283 m. These RMSE are within the range of values recommended for standard mapping surveys as well as GIS.

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“…Hasil akhir dari pengolahan foto udara dengan Agisoft Photoscan berupa orthofoto, DSM dan DTM. (Daramola et al, 2017 Tabel 1 dan Tabel 2 menunjukkan akurasi horizontal CE90 dan vertikal LE90 masing-masing 0,360 dan 0,810. Sesuai dengan Perka BIG No.…”

Section: Hasil Dan Pembahasanunclassified

Penggunaan Foto Udara Format Kecil Untuk Identifikasi Kerentanan Lingkungan Terhadap Bencana Tsunami Di Yogyakarta International Airport (Yia)

Yulian

Hartono

Brotopuspito

et al. 2019

JIG

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Yogyakarta International Airport (YIA) terletak dalam zona rawan bencana tsunami dengan risiko tinggi. Wilayah ini berhadapan langsung dengan Samudera Hindia yang merupakan zona subduksi yang berpotensi menimbulkan gempa bumi megathrust dan tsunami besar. Penelitian ini bertujuan untuk melakukan identifikasi dan analisis kerentanan lingkungan terhadap bencana tsunami di YIA menggunakan Foto Udara Format Kecil (FUFK). Kerentanan lingkungan dinilai dari kondisi topografi, keberadaan petunjuk evakuasi, akses evakuasi, sumber daya untuk evakuasi, dan kondisi jalur evakuasi. Pengumpulan data melalui pemotretan FUFK menggunakan Wahana Udara Nir Awak (WUNA) dan pengamatan kondisi lingkungan. Hasil identifikasi dan analisis menunjukkan kerentanan lingkungan untuk menghadapi bencana tsunami di lokasi kajian masih rendah. Hal ini dapat dilihat dari keberadaan petunjuk arah evakuasi yang tidak tersebar dengan baik, terbatasnya jalan untuk jalur evakuasi, dan tidak adanya perbukitan. Tempat Evakuasi Sementara (TES) yang sangat mungkin ditetapkan di YIA dan sekitarnya adalah bangunan perlindungan evakuasi.

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Assessing the geometric accuracy of UAV-based orthophotos

Abstract: Attempt has been made in this research to investigate geometric quality of an Unmanned Aerial

Cited by 11 publications

References 5 publications

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Assessment of positional accuracies of UAV-based coordinates derived from orthophotos at varying times of the day- A case study

Penggunaan Foto Udara Format Kecil Untuk Identifikasi Kerentanan Lingkungan Terhadap Bencana Tsunami Di Yogyakarta International Airport (Yia)

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