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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2-2024
https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-379-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-379-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
11 Jun 2024
| 11 Jun 2024
Towards Estimation of 3D Poses and Shapes of Animals from Oblique Drone Imagery
Vandita Shukla
3D Optical Metrology Unit (3DOM), Bruno Kessler Foundation (FBK), Trento, Italy
Computer Vision & Machine Learning Systems Group, Institut Für Geoinformatik, University of Münster, Germany
Luca Morelli
3D Optical Metrology Unit (3DOM), Bruno Kessler Foundation (FBK), Trento, Italy
Dept. of Civil, Environmental and Mechanical Engineering, University of Trento, Italy
Fabio Remondino
3D Optical Metrology Unit (3DOM), Bruno Kessler Foundation (FBK), Trento, Italy
Andrea Micheli
Planning, Scheduling and Optimization Unit (PSO), Bruno Kessler Foundation (FBK), Trento, Italy
Devis Tuia
Environmental Computational Science and Earth Observation Laboratory (ECEO), EPFL, Switzerland
Benjamin Risse
Computer Vision & Machine Learning Systems Group, Institut Für Geoinformatik, University of Münster, Germany
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Short summary
Short summary
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 291–298, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-291-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-291-2022, 2022
G. Mazzacca, E. Grilli, G. P. Cirigliano, F. Remondino, and S. Campana
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 365–372, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-365-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-365-2022, 2022
A. Torresani, S. Rigon, E. M. Farella, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 761–768, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-761-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-761-2021, 2021
S. Teruggi, E. Grilli, F. Fassi, and F. Remondino
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 155–162, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, 2021
A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021, 2021
E. Maset, E. Rupnik, M. Pierrot-Deseilligny, F. Remondino, and A. Fusiello
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 33–38, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, 2021
V. Mousavi, M. Varshosaz, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 39–46, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-39-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-39-2021, 2021
E. K. Stathopoulou, S. Rigon, R. Battisti, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 391–398, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-391-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-391-2021, 2021
E. Grilli, F. Poux, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 471–478, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-471-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-471-2021, 2021
A. Karami, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 519–526, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-519-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-519-2021, 2021
F. Remondino, F. Menna, and L. Morelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 549–556, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-549-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-549-2021, 2021
F. Menna, E. Nocerino, B. Chemisky, F. Remondino, and P. Drap
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 667–672, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-667-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-667-2021, 2021
A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021, 2021
D. González-Aguilera, E. Ruiz de Oña, L. López-Fernandez, E. M. Farella, E. K. Stathopoulou, I. Toschi, F. Remondino, P. Rodríguez-Gonzálvez, D. Hernández-López, A. Fusiello, and F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, 2020
F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, 2020
F. Remondino, T. Fuse, and I. Toschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-7-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-7-2020, 2020
V. V. Kniaz, S. Y. Zheltov, F. Remondino, V. A. Knyaz, A. Bordodymov, and A. Gruen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 435–441, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020, 2020
O. Lanz, F. Sottsas, M. Conni, M. Boschetti, E. Nocerino, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 785–790, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-785-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-785-2020, 2020
F. Remondino, T. Fuse, and I. Toschi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2020-7-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-7-2020, 2020
E.-K. Stathopoulou, M. Welponer, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 331–338, https://doi.org/10.5194/isprs-archives-XLII-2-W17-331-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-331-2019, 2019
E. Grilli, E. Özdemir, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 447–454, https://doi.org/10.5194/isprs-archives-XLII-4-W18-447-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-447-2019, 2019
E. Özdemir, F. Remondino, and A. Golkar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 843–849, https://doi.org/10.5194/isprs-archives-XLII-4-W18-843-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-843-2019, 2019
K. Bakuła, J. P. Mills, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 1–8, https://doi.org/10.5194/isprs-archives-XLII-1-W2-1-2019, https://doi.org/10.5194/isprs-archives-XLII-1-W2-1-2019, 2019
E. Özdemir, I. Toschi, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 53–60, https://doi.org/10.5194/isprs-archives-XLII-1-W2-53-2019, https://doi.org/10.5194/isprs-archives-XLII-1-W2-53-2019, 2019
E.-K. Stathopoulou and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 1135–1140, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1135-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1135-2019, 2019
A. Torresani and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 1157–1162, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1157-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1157-2019, 2019
E. Nocerino, F. Menna, E. Farella, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 857–864, https://doi.org/10.5194/isprs-archives-XLII-2-W15-857-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-857-2019, 2019
E. M. Farella, A. Torresani, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 465–472, https://doi.org/10.5194/isprs-archives-XLII-2-W15-465-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-465-2019, 2019
E. Grilli, E. M. Farella, A. Torresani, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 541–548, https://doi.org/10.5194/isprs-archives-XLII-2-W15-541-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-541-2019, 2019
C. Bernard, J. P. Mills, J. Talaya, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 927–934, https://doi.org/10.5194/isprs-archives-XLII-2-W13-927-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-927-2019, 2019
E. Özdemir and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 103–110, https://doi.org/10.5194/isprs-archives-XLII-2-W13-103-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-103-2019, 2019
I. Toschi, D. Morabito, E. Grilli, F. Remondino, C. Carlevaro, A. Cappellotto, G. Tamagni, and M. Maffeis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 119–126, https://doi.org/10.5194/isprs-archives-XLII-2-W13-119-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-119-2019, 2019
F. Menna, A. Torresani, E. Nocerino, M. M. Nawaf, J. Seinturier, F. Remondino, P. Drap, and B. Chemisky
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 127–134, https://doi.org/10.5194/isprs-archives-XLII-2-W10-127-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-127-2019, 2019
E. M. Farella, A. Torresani, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 339–346, https://doi.org/10.5194/isprs-archives-XLII-2-W9-339-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-339-2019, 2019
V. V. Kniaz, F. Remondino, and V. A. Knyaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 403–408, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, 2019
E.-K. Stathopoulou and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 685–690, https://doi.org/10.5194/isprs-archives-XLII-2-W9-685-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-685-2019, 2019
I. Toschi, F. Remondino, R. Rothe, and K. Klimek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 437–444, https://doi.org/10.5194/isprs-archives-XLII-1-437-2018, https://doi.org/10.5194/isprs-archives-XLII-1-437-2018, 2018
A. Nowacka and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 467–474, https://doi.org/10.5194/isprs-archives-XLII-4-467-2018, https://doi.org/10.5194/isprs-archives-XLII-4-467-2018, 2018
E. Özdemir and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 135–142, https://doi.org/10.5194/isprs-archives-XLII-4-W10-135-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-135-2018, 2018
D. Abate, I. Toschi, C. Sturdy-Colls, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1–8, https://doi.org/10.5194/isprs-archives-XLII-2-1-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1-2018, 2018
A. Dhanda, F. Remondino, and M. Santana Quintero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 297–302, https://doi.org/10.5194/isprs-archives-XLII-2-297-2018, https://doi.org/10.5194/isprs-archives-XLII-2-297-2018, 2018
E. Grilli, D. Dininno, G. Petrucci, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 399–406, https://doi.org/10.5194/isprs-archives-XLII-2-399-2018, https://doi.org/10.5194/isprs-archives-XLII-2-399-2018, 2018
F. Menna, E. Nocerino, P. Drap, F. Remondino, A. Murtiyoso, P. Grussenmeyer, and N. Börlin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 699–705, https://doi.org/10.5194/isprs-archives-XLII-2-699-2018, https://doi.org/10.5194/isprs-archives-XLII-2-699-2018, 2018
E. Nocerino, D. H. Rieke-Zapp, E. Trinkl, R. Rosenbauer, E. M. Farella, D. Morabito, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 773–780, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, 2018
Y. Tefera, F. Poiesi, D. Morabito, F. Remondino, E. Nocerino, and P. Chippendale
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1097–1103, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, 2018
T. Zieher, I. Toschi, F. Remondino, M. Rutzinger, Ch. Kofler, A. Mejia-Aguilar, and R. Schlögel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1243–1250, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, 2018
Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018, https://doi.org/10.5194/nhess-18-1079-2018, 2018
Short summary
Short summary
Remotely piloted aerial systems can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes like landslides or volcanic activities but also for the definition of effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards.
I. Toschi, M. Allocca, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 505–512, https://doi.org/10.5194/isprs-archives-XLII-3-W4-505-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-505-2018, 2018
E. Nocerino, F. Poiesi, A. Locher, Y. T. Tefera, F. Remondino, P. Chippendale, and L. Van Gool
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, 2017
D. Abate, I. Toschi, C. Sturdy-Colls, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 1–8, https://doi.org/10.5194/isprs-archives-XLII-2-W8-1-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-1-2017, 2017
F. Menna, E. Nocerino, D. Morabito, E. M. Farella, M. Perini, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 155–162, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, 2017
E. Nocerino, M. Dubbini, F. Menna, F. Remondino, M. Gattelli, and D. Covi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 149–156, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, 2017
F. Remondino, E. Nocerino, I. Toschi, and F. Menna
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 591–599, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, 2017
E. Nocerino, F. Menna, D. Morabito, F. Remondino, I. Toschi, D. Abate, D. Ebolese, E. Farella, F. Fiorillo, S. Minto, P. Rodríguez-Gonzálvez, C. Slongo, and M. G. Speraj
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 179–186, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, 2017
D. Poli, K. Moe, K. Legat, I. Toschi, F. Lago, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 493–498, https://doi.org/10.5194/isprs-archives-XLII-1-W1-493-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-493-2017, 2017
I. Toschi, E. Nocerino, F. Remondino, A. Revolti, G. Soria, and S. Piffer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 527–534, https://doi.org/10.5194/isprs-archives-XLII-1-W1-527-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-527-2017, 2017
E. Grilli, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 339–344, https://doi.org/10.5194/isprs-archives-XLII-2-W3-339-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-339-2017, 2017
D. González-Aguilera, L. López-Fernández, P. Rodriguez-Gonzalvez, D. Guerrero, D. Hernandez-Lopez, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, and M. Gaiani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 31–38, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, 2016
E. Farella, F. Menna, E. Nocerino, D. Morabito, F. Remondino, and M. Campi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 255–262, https://doi.org/10.5194/isprs-archives-XLI-B5-255-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-255-2016, 2016
F. Remondino, I. Toschi, M. Gerke, F. Nex, D. Holland, A. McGill, J. Talaya Lopez, and A. Magarinos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 639–645, https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016, https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016, 2016
E. Nocerino, F. Menna, F. Fassi, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 127–134, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, 2016
J. Grazioli, D. Tuia, and A. Berne
Atmos. Meas. Tech., 8, 149–170, https://doi.org/10.5194/amt-8-149-2015, https://doi.org/10.5194/amt-8-149-2015, 2015
Short summary
Short summary
A new approach for hydrometeor classification from polarimetric radar measurements is proposed. It takes adavantage of clustering techniques to objectively determine the number of hydrometeor classes that can be reliably identified. The proposed method is tested using observations from an X-band polarimetric radar in different regions and evaluated by comparison with existing algorithms and with measurements from a ground-based 2D video disdrometer (providing 2-D views of falling hydrometeors).
J. Grazioli, D. Tuia, S. Monhart, M. Schneebeli, T. Raupach, and A. Berne
Atmos. Meas. Tech., 7, 2869–2882, https://doi.org/10.5194/amt-7-2869-2014, https://doi.org/10.5194/amt-7-2869-2014, 2014
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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