Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation
Tài liệu tham khảo
Bemis, 2014, Ground-based and UAV-based photogrammetry: a multi-scale, high-resolution mapping tool for structural geology and paleoseismology, J. Struct. Geol., 69, 163, 10.1016/j.jsg.2014.10.007
Bilskie, 2013, Topographic accuracy assessment of bare earth lidar-derived unstructured meshes, Adv. Water Resour., 52, 165, 10.1016/j.advwatres.2012.09.003
Castillo, 2011, Comparing the accuracy of several field methods for measuring gully erosion, Soil Sci. Soc. Am. J., 6, 1319
Chen, 2007, Filtering airborne laser scanning data with morphological methods, Photogrammetric Eng. Remote Sens., 73, 175, 10.14358/PERS.73.2.175
Chiabrando, 2011, UAV and RPV systems for photogrammetric surveys in archaeological areas: two tests in the piedmont region (Italy), J. Archaeological Sci., 38, 697, 10.1016/j.jas.2010.10.022
Dandois, 2015, Optimal altitude, overlap, and weather conditions for computer vision UAV estimates of forest structure, Remote Sens., 7, 13895, 10.3390/rs71013895
Guarnieria, A., Vettorea, A., Pirottia, F., Maranib, M., 2009. Filtering of tls point clouds for the generation of dtm in salt-marsh areas. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVIII, Part 3/W8.
Hua, 2014, An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy, ISPRS J. Photogrammetry Remote Sens., 92, 98, 10.1016/j.isprsjprs.2014.02.014
Hui, 2016, An improved morphological algorithm for filtering airborne LiDAR point cloud based on multi-level kriging interpolation, Remote Sens., 8, 35, 10.3390/rs8010035
Immerzeel, 2014, High-resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles, Remote Sens. Environ., 150, 93, 10.1016/j.rse.2014.04.025
Kim, 2016, Segmentation of planar surfaces from laser scanning data using the magnitude of normal position vector for adaptive neighborhoods, Sensors, 16, 140, 10.3390/s16020140
Kraus, 1998, Determination of terrain models in wooded areas with airborne laser scanner data, ISPRS J. Photogrammetry Remote Sens., 53, 193, 10.1016/S0924-2716(98)00009-4
Liu, 2007, The effect of LiDAR data density on DEM accuracy, 1363
Meng, 2010, Ground filtering algorithms for airborne LiDAR Data: a review of critical issues, Remote Sens., 2, 833, 10.3390/rs2030833
Mesas-Carrascosa, 2014, Positional quality assessment of orthophotos obtained from sensors onboard multi-rotor UAV platforms, Sensors, 14, 22394, 10.3390/s141222394
Mongus, 2012, Parameter-free ground filtering of LiDAR data for automatic DTM generation, ISPRS J. Photogrammetry Remote Sens., 67, 1, 10.1016/j.isprsjprs.2011.10.002
Niethammer, 2012, UAV-based remote sensing of the super-sauze landslide: evaluation and results, Eng. Geol., 128, 2, 10.1016/j.enggeo.2011.03.012
Panholzer, 2013, Wedge-filtering of geomorphologic terrestrial laser scan data, Sensors, 13, 2579, 10.3390/s130202579
Pirotti, 2013, Ground filtering and vegetation mapping using multi-return terrestrial laser scanning, ISPRS J. Photogrammetry Remote Sens., 76, 56, 10.1016/j.isprsjprs.2012.08.003
Serifoglu, C., Gungor, O., Yilmaz, V., 2016. Performance evaluation of different ground filtering algorithms for UAV-based point cloud. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic, volume XLI-B1, pp. 245–251.
Teza, 2007, Terrestrial laser scanner to detect landslide displacement fields: a new approach, Int. J. Remote Sens., 28, 3425, 10.1080/01431160601024234
Thuy Vu, 2004, Filtering airborne laser scanner data: a wavelet-based clustering method, Photogrammetric Eng. Remote Sens., 70, 1267, 10.14358/PERS.70.11.1267
Turner, 2015, Time series analysis of landslide dynamics using an unmanned aerial vehicle (UAV), Remote Sens., 7, 1736, 10.3390/rs70201736
Véga, 2012, A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments, Comput. Geosci., 44, 31, 10.1016/j.cageo.2012.03.021
Weinmann, 2015, Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers, ISPRS J. Photogrammetry Remote Sens., 105, 286, 10.1016/j.isprsjprs.2015.01.016
Weinmann, M., Jutzi, B., Mallet, C., 2014. Semantic 3d scene interpretation: a framework combining optimal neighborhood size selection with relevant features. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-3, pp. 181–188.
Xue-Hua, 2002, Integration of classification methods for improvement of land-cover map accuracy, ISPRS J. Photogramm. Remote Sens., 56, 257, 10.1016/S0924-2716(02)00061-8
Zhang, 2013, Filtering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification, ISPRS J. Photogrammetry Remote Sens., 81, 44, 10.1016/j.isprsjprs.2013.04.001
Zhang, 2003, A progressive morphological filter for removing nonground measurements from airborne LiDAR data, IEEE Trans. Geosci. Remote Sens., 41, 872, 10.1109/TGRS.2003.810682