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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVI-2/W1-2022
https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-365-2022
© Author(s) 2022. 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-XLVI-2-W1-2022-365-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
25 Feb 2022
SEEING AMONG FOLIAGE WITH LIDAR AND MACHINE LEARNING: TOWARDS A TRANSFERABLE ARCHAEOLOGICAL PIPELINE
G. Mazzacca
3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
Centre of Geotechnologies, University of Siena, Italy
E. Grilli
3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
G. P. Cirigliano
Department of History and Cultural Heritage, University of Siena, Italy
F. Remondino
3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
S. Campana
Department of History and Cultural Heritage, University of Siena, Italy
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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
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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