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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2
https://doi.org/10.5194/isprs-archives-XLII-2-185-2018
© Author(s) 2018. 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-XLII-2-185-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2018
| 30 May 2018
EVALUATION OF PHOTOGRAMMETRIC BLOCK ORIENTATION USING QUALITY DESCRIPTORS FROM STATISTICALLY FILTERED TIE POINTS
A. Calantropio
DAD, Department of Architecture and Design, Politecnico di Torino, Viale Mattioli 39, 10129 Torino, Italy
M. P. Deseilligny
LaSTIG, IGN, ENSG, Univ. Paris Est F-94160, Saint Mandé, France
F. Rinaudo
DAD, Department of Architecture and Design, Politecnico di Torino, Viale Mattioli 39, 10129 Torino, Italy
E. Rupnik
LaSTIG, IGN, ENSG, Univ. Paris Est F-94160, Saint Mandé, France
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 71–78, https://doi.org/10.5194/isprs-archives-XLII-1-71-2018, https://doi.org/10.5194/isprs-archives-XLII-1-71-2018, 2018
Denis Feurer, Olivier Planchon, Mohamed Amine El Maaoui, Abir Ben Slimane, Mohamed Rached Boussema, Marc Pierrot-Deseilligny, and Damien Raclot
Nat. Hazards Earth Syst. Sci., 18, 1567–1582, https://doi.org/10.5194/nhess-18-1567-2018, https://doi.org/10.5194/nhess-18-1567-2018, 2018
Short summary
Short summary
We present a method for acquiring very-high-resolution images for 3-D mapping of gullies over kilometre-square areas using kites. Kites used in appropriate conditions can be an advantageous alternative to light unmanned aircraft when local regulations or weather conditions hamper their use. We proved that kites can acquire images, allowing for high-quality 3-D coverage of large areas. We automatically detected and mapped gullies from a decimetre kite DEM with 74 % accuracy of the length.
F. Condorelli and F. Rinaudo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 259–265, https://doi.org/10.5194/isprs-archives-XLII-2-259-2018, https://doi.org/10.5194/isprs-archives-XLII-2-259-2018, 2018
F. Diara and F. Rinaudo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 303–309, https://doi.org/10.5194/isprs-archives-XLII-2-303-2018, https://doi.org/10.5194/isprs-archives-XLII-2-303-2018, 2018
A. Calantropio, F. Chiabrando, G. Sammartano, A. Spanò, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 121–128, https://doi.org/10.5194/isprs-archives-XLII-3-W4-121-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-121-2018, 2018
A. Calantropio, E. Colucci, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 59–66, https://doi.org/10.5194/isprs-archives-XLII-2-W8-59-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-59-2017, 2017
A. Audi, M. Pierrot-Deseilligny, C. Meynard, and C. Thom
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 13–19, https://doi.org/10.5194/isprs-archives-XLII-2-W6-13-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-13-2017, 2017
F. Chiabrando, M. Lo Turco, and F. Rinaudo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 605–612, https://doi.org/10.5194/isprs-archives-XLII-2-W5-605-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-605-2017, 2017
G. Bitelli, C. Balletti, R. Brumana, L. Barazzetti, M. G. D’Urso, F. Rinaudo, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 83–90, https://doi.org/10.5194/isprs-archives-XLII-2-W5-83-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-83-2017, 2017
M. Lo Turco, M. Mattone, and F. Rinaudo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 261–268, https://doi.org/10.5194/isprs-archives-XLII-5-W1-261-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-261-2017, 2017
E. Rupnik, M. Pierrot Deseilligny, A. Delorme, and Y. Klinger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 83–90, https://doi.org/10.5194/isprs-annals-III-1-83-2016, https://doi.org/10.5194/isprs-annals-III-1-83-2016, 2016
M. Daakir, M. Pierrot-Deseilligny, P. Bosser, F. Pichard, C. Thom, and Y. Rabot
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 65–70, https://doi.org/10.5194/isprs-archives-XL-3-W4-65-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-65-2016, 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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