ANALISIS KERAPATAN 3D POINT CLOUDS PADA UAV FOTOGRAMETRI
Abstract
Ketersediaan Infomasi Spasial merupakan salah satu faktor utama untuk mengoptimalkan perencanaan pembangunan. Disisi lain, peningkatan kebutuhan data spasial berskala detail terus diupayakan untuk memenuhi tantangan tersebut. Salah satu upaya untuk percepatan penyediaan data dan informasi spasial dengan memanfaatkan teknologi pemetaan dengan wahana Unmanned Aerial Vehicle (UAV). UAV dipandang efektif dan efisien baik itu dari segi waktu maupun biaya. Keakurasian yang dihasilkan oleh citra dari UAV pun terus ditingkatkan. Salah satunya adalah melakukan studi lebih lanjut terhadap data yang dihasilkan oleh wahana UAV yakni peningkatan kerapatan point cloud. Pada penelitian ini, dilakukan analisis kerapatan 3D point clouds dan kekaurasian kerapatan 3D point clouds tersebut direalisasikan dengan mengidentifikasi sejumlah tie points yang ideal pada lokasi von gruber kemudian diterapkan filtering. Setiap nilai hasil filtering tie points akan diproses kembali dengan menerapkan perhitungan bundle adjustment serta penambahan variabel lainnya. Ketelitian dari sejumlah Point clouds yang dihasilkan dari berbagai variasi jumlah tie points, ditentukan berdasarkan nilai RMSEnya
References
(2) Bethmann. F., and Luhmann, T., 2010. Least Squares Matching with Advanced Geometric Transformation Models. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science. Vol. XXXVIII. Part 5. Newcastle upon Tyne, UK. 2010.
(3) Campbell, N.A., and Wu, X., 2008. Gradient Cross Correlation for Sub-Pixel Matching. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science.Vol. XXXVII. Part B7. Beijing 2008.
(4) Elaksher, A., 2008. A Multi-Photo Least Squares Matching Algorithm for Urban Area DEM Refinement Using Breaklines. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science. Vol XXXVII. Part B3a. Beijing 2008.
(5) Furukawa, Y. & Ponce, J., 2009. Accurate, Dense, and Robust Multi-View Stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence. p. IEEE Computer Society Press.
(6) Leica Geosystems, 2006. Leica Photogrammetry Suite Project Manager.
(7) Mitchell, H., and Pilgrim, L.J., 1987. Selection of an Image Matching Algorithm. Department of Civil Engineering and Surveying. University of Newcastle.
(8) Schenk, T., 1999. Digital Photogrammetry, TerraScience, Ohio, USA.
(9) Schneider, D., 2014. Open season on drones? Spectrum, IEEE 51(1), pp. 32–33.
(10) Wilbers, D., Merfels, C., Stachniss, C., 2019. A comparison of particle filter and graph-based optimization for localization with landmarks in automated vehicles. 2019 Third IEEE Inter- national Conference on Robotic Computing (IRC), IEEE.
(11) Wolf, P.R., and Dewitt, B.A., 2000. Element of Photogrammetry with Applications in GIS 3rd. McGraw-Hill.
(12) Yang, B & Dong, Z., 2013. A shape-based segmentation method for mobile laser scanning point cloud. ISPRS Journal of Photogrammetry and Remote Sensing, 81, pp. 19–30.
Copyright (c) 2022 Jurnal Qua Teknika
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License
