Open Access
| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 6 | |
| Section | Geology, Mapping, and Remote Sensing | |
| DOI | https://doi.org/10.1051/e3sconf/202016503010 | |
| Published online | 01 May 2020 | |
- Lague, D., Brodu, N., and Leroux, J. (2013). “Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z).” ISPRS Journal of Photogrammetry and Remote Sensing. DOI: 10.1016/j.isprsjprs.2013.04.009 [Google Scholar]
- Sallenger et al., 2003 Evaluation of airborne topographic LIDAR for quantifying beach changes, Journal of Coastal Research 19(1):125-133. [Google Scholar]
- Zulkipli, M.A., and Tahar, K.N. (2018). “Multirotor UAV-Based Photogrammetric Mapping for Road Design.” International Journal of Optics. DOI: 10.1155/2018/1871058. [Google Scholar]
- Aber, J., Marzolff, I., and Ries, J. (2010). Small-format aerial photography: Principles, techniques, and geoscience applications. The Photogrammetric Record. [Google Scholar]
- Chao, H., Cao, Y., and Chen, Y. (2010). “Autopilots for small unmanned aerial vehicles: A survey.” International Journal of Control, Automation, and Systems. DOI: 10.1007/s12555-010-0105-z. [Google Scholar]
- Graça, N., Mitishita, E., and Gonçalves, J. (2014). “Photogrammetric mapping using the unmanned aerial vehicle.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. [Google Scholar]
- Saad, A.M., and Tahar, K.N. (2019). “Identification of rut and pothole by using a multirotor unmanned aerial vehicle (UAV).” Measurement: Journal of the International Measurement Confederation. DOI: 10.1016/j.measurement.2019.01.093. [Google Scholar]
- Küng, O., Strecha, C., Beyeler, A., Zufferey, J.-C., Floreano, D., Fua, P., and Gervaix, F. (2012). “The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery.” isprs - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. [Google Scholar]
- Liba, N., and Berg-Jürgens, J. (2015). “Accuracy of orthomosaic generated by different methods in an example of UAV platform MUST Q.” IOP Conference Series: Materials Science and Engineering.DOI: 10.1088/1757-899X/96/1/012041. [Google Scholar]
- Jaud, M., Passot, S., Le Bivic, R., Delacourt, C., Grandjean, P., and Le Dantec, N. (2016). “Assessing the accuracy of high-resolution digital surface models computed by PhotoScan® and MicMac® in sub-optimal survey conditions.” Remote Sensing. DOI:10.3390/rs8060465. [Google Scholar]
- Sona, G., Pinto, L., Pagliari, D., Passoni, D., and Gini, R. (2014). “Experimental analysis of different software packages for orientation and digital surface modeling from UAV images.” Earth ScienceInformatics.DOI:10.1007/s12145-01301422 [Google Scholar]
- Colomina, I., and Molina, P. (2014). “Unmanned aerial systems for photogrammetry and remote sensing: A review.” ISPRS Journal of Photogrammetry and Remote Sensing. DOI: 10.1016/j.isprsjprs.2014.02.013. [Google Scholar]
- Nex, F. & Remondino, F., 2012. UAV for 3D mapping applications: a review. Applied Geomatics. DOI: 10.1016/j.jas.2010.10.022. [Google Scholar]
- Agisoft LLC. (2018). Agisoft PhotoScan User Manual: Professional Edition, Version 1.4. Agisoft LLC. [Google Scholar]
- Gross, J.W. (2015). “A Comparison of Orthomosaic Software for Use with Ultra-High Resolution Imagery of a Wetland Environment.” Center for Geographic Information Science and Geography Department. [Google Scholar]
- Ali, A. (2017). “Images classification and feature extraction by using unmanned aerial vehicles (UAV’s).” International Journal of Applied Engineering Research. [Google Scholar]
- Zhou, H., Kong, H., Wei, L., Creighton, D., and Nahavandi, S. (2017). “On Detecting Road Regions in a Single UAV Image.” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2016.2622280. [Google Scholar]
- Snavely, K.N., 2008. Scene Reconstruction and Visualization from Internet Photo Collections, Washington: University of Washington. [Google Scholar]
- “ASPRS Positional Accuracy Standards for Digital Geospatial Data.” (2015). Photogrammetric Engineering & Remote Sensing. DOI: 10.1016/S0099-1112(15)30334-7. [Google Scholar]
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