CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS

19 citations as recorded by crossref.

1. Determining Vertical Displacement of Agricultural Areas Using UAV-Photogrammetry and a Heteroscedastic Deep Learning Model W. Gruszczyński et al. https://doi.org/10.3390/rs17183259
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3. Designing and Testing a UAV Mapping System for Agricultural Field Surveying M. Christiansen et al. https://doi.org/10.3390/s17122703
4. Quantitative Evaluation of Gully Erosion Using Multitemporal UAV Data in the Southern Black Soil Region of Northeast China: A Case Study R. Wang et al. https://doi.org/10.3390/rs14061479
5. PREDICTION OF HAZARDOUS GEOLOGICAL PROCESS DEVELOPMENT IN OPEN MINE WORKING USING INFORMATION TECHNOLOGIES А. Флоров & A. Florov https://doi.org/10.30987/article_5bf3cb5060c3a4.53131692
6. Yüksek Çözünürlüklü İnsansız Hava Aracı (İHA) Görüntülerinden Karayolların Tespiti A. YİĞİT & M. UYSAL https://doi.org/10.17798/bitlisfen.900817
7. Classification of Mediterranean Shrub Species from UAV Point Clouds J. Carbonell-Rivera et al. https://doi.org/10.3390/rs14010199
8. Estimating Riparian Vegetation Volume in the River by 3D Point Cloud from UAV Imagery and Alpha Shape E. Jang & W. Kang https://doi.org/10.3390/app14010020
9. Remote Sensing with UAVs for Modeling Floods: An Exploratory Approach Based on Three Chilean Rivers R. Clasing et al. https://doi.org/10.3390/w15081502
10. Coarse-to-Fine Classification of Road Infrastructure Elements from Mobile Point Clouds Using Symmetric Ensemble Point Network and Euclidean Cluster Extraction D. Wang et al. https://doi.org/10.3390/s20010225
11. DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud S. Mehmood et al. https://doi.org/10.1007/s11063-020-10368-8
12. ISPRS Hannover Workshop 2017 D. Holland https://doi.org/10.1111/phor.12203
13. Unmanned aerial vehicle for the assessment of woody and herbaceous phytomass in Sahelian savanna M. Bossoukpe et al. https://doi.org/10.19182/remvt.36802
14. Fusion of Airborne LiDAR Point Clouds and Aerial Images for Heterogeneous Land-Use Urban Mapping Y. Megahed et al. https://doi.org/10.3390/rs13040814
15. Generalized Extraction of Bolts, Mesh, and Rock in Tunnel Point Clouds: A Critical Comparison of Geometric Feature-Based Methods Using Random Forest and Neural Networks L. Weidner & G. Walton https://doi.org/10.3390/rs16234466
16. A Review on Deep Learning Techniques for 3D Sensed Data Classification D. Griffiths & J. Boehm https://doi.org/10.3390/rs11121499
17. Supervised Detection of Façade Openings in 3D Point Clouds with Thermal Attributes M. Jarząbek-Rychard et al. https://doi.org/10.3390/rs12030543
18. Accuracy Assessment of Deep Learning Based Classification of LiDAR and UAV Points Clouds for DTM Creation and Flood Risk Mapping G. Jakovljevic et al. https://doi.org/10.3390/geosciences9070323
19. A Comparative Analysis of Phytovolume Estimation Methods Based on UAV-Photogrammetry and Multispectral Imagery in a Mediterranean Forest F. Carvajal-Ramírez et al. https://doi.org/10.3390/rs11212579