Zobrazeno 1 - 10
of 18
pro vyhledávání: '"D. Sobrero"'
Autor:
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, M. Spagnuolo
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3-W5, Pp 523-530 (2015)
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process, due to the size, variety, and dynamic nature of the data captured by the available sensing devices. Making use of the data
Externí odkaz:
https://doaj.org/article/a2192e074c0242149ee31a5443e82530
Autor:
Michela Spagnuolo, Tor Dokken, D. Sobrero, Giuseppe Patanè, Silvia Biasotti, S. Pittaluga, Andrea Cerri, Vibeke Skytt
Publikováno v:
ISPRS journal of photogrammetry and remote sensing 127 (2017): 57–72. doi:10.1016/j.isprsjprs.2016.09.011
info:cnr-pdr/source/autori:G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo/titolo:Comparing methods for the approximation of rainfall fields in environmental applications/doi:10.1016%2Fj.isprsjprs.2016.09.011/rivista:ISPRS journal of photogrammetry and remote sensing/anno:2017/pagina_da:57/pagina_a:72/intervallo_pagine:57–72/volume:127
info:cnr-pdr/source/autori:G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo/titolo:Comparing methods for the approximation of rainfall fields in environmental applications/doi:10.1016%2Fj.isprsjprs.2016.09.011/rivista:ISPRS journal of photogrammetry and remote sensing/anno:2017/pagina_da:57/pagina_a:72/intervallo_pagine:57–72/volume:127
Digital environmental data are becoming commonplace and the amount of information they provide is complex to process, due to the size, variety, and dynamic nature of the data captured by sensing devices. The paper discusses an evaluation framework fo
Autor:
Tor Dokken, M. Spagnuolo, Andrea Cerri, D. Sobrero, Silvia Biasotti, S. Pittaluga, Vibeke Skytt, Giuseppe Patanè
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3-W5, Pp 523-530 (2015)
ISPRS Geospatial Week 2015, pp. 523–530, La Grande Motte, France, 28 Sep-03 Oct 2015
info:cnr-pdr/source/autori:G. Patane', A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo/congresso_nome:ISPRS Geospatial Week 2015/congresso_luogo:La Grande Motte, France/congresso_data:28 Sep-03 Oct 2015/anno:2015/pagina_da:523/pagina_a:530/intervallo_pagine:523–530
ISPRS Geospatial Week 2015, pp. 523–530, La Grande Motte, France, 28 Sep-03 Oct 2015
info:cnr-pdr/source/autori:G. Patane', A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo/congresso_nome:ISPRS Geospatial Week 2015/congresso_luogo:La Grande Motte, France/congresso_data:28 Sep-03 Oct 2015/anno:2015/pagina_da:523/pagina_a:530/intervallo_pagine:523–530
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process, due to the size, variety, and dynamic nature of the data captured by the available sensing devices. Making use of the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ebb9b4a99ced9f452f28debc78e2f0
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/523/2015/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/523/2015/
Autor:
G. Patanè, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, M. Spagnuolo
Publikováno v:
Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging ISBN: 9783031014611
Heterogenous Spatial Data-Fusion, Modeling, and Analysis for GIS Applications, edited by Giuseppe Patanè and Michela Spagnuolo, pp. 79–98. San Rafael, California: Morgan & Claypool Publishers, 2016
info:cnr-pdr/source/autori:G. Patanè, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo/titolo:Applications to surface approximation and rainfall analysis/titolo_volume:Heterogenous Spatial Data-Fusion, Modeling, and Analysis for GIS Applications/curatori_volume:Giuseppe Patanè and Michela Spagnuolo/editore: /anno:2016
Heterogenous Spatial Data-Fusion, Modeling, and Analysis for GIS Applications, edited by Giuseppe Patanè and Michela Spagnuolo, pp. 79–98. San Rafael, California: Morgan & Claypool Publishers, 2016
info:cnr-pdr/source/autori:G. Patanè, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo/titolo:Applications to surface approximation and rainfall analysis/titolo_volume:Heterogenous Spatial Data-Fusion, Modeling, and Analysis for GIS Applications/curatori_volume:Giuseppe Patanè and Michela Spagnuolo/editore: /anno:2016
First, we investigate the approximation of mainly bathymetric data with LR B-spline surfaces and look into different aspects of the approach (Sec.4.1). Second, we report on a comparison of different methods (e.g., kriging, RBF approximation and LR B-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c8a7c51c45a62dabbb61c46f6c06888
https://doi.org/10.1007/978-3-031-02589-1_4
https://doi.org/10.1007/978-3-031-02589-1_4
Publikováno v:
16-11, 2016
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in time may give interesting insights on the evolution of storms. Our approach is based on a topological analysis of rainfall data al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::30d63c1d921489d2dc75a9dec151890a
https://publications.cnr.it/doc/359945
https://publications.cnr.it/doc/359945
Publikováno v:
STAG: Smart Tools and Apps in computer Graphics (2016), pp. 29–37, Genova, Italy, October 3-4, 2016
info:cnr-pdr/source/autori:S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo/congresso_nome:STAG: Smart Tools and Apps in computer Graphics (2016)/congresso_luogo:Genova, Italy/congresso_data:October 3-4, 2016/anno:2016/pagina_da:29/pagina_a:37/intervallo_pagine:29–37
info:cnr-pdr/source/autori:S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo/congresso_nome:STAG: Smart Tools and Apps in computer Graphics (2016)/congresso_luogo:Genova, Italy/congresso_data:October 3-4, 2016/anno:2016/pagina_da:29/pagina_a:37/intervallo_pagine:29–37
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in time may give interesting insights on the evolution of storm. Our approach is based on a topological analysis of rainfall data all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::fdd123c3efb1a435d45ec7c39370bd7f
https://publications.cnr.it/doc/359630
https://publications.cnr.it/doc/359630
Autor:
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, M. Spagnuolo
Publikováno v:
16-10, 2016
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process, due to the size, variety, and dynamic nature of the data captured by sensing devices. The paper discusses an evaluation fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::87bc8e22f5024c9dbae8754b798d3fbd
http://www.cnr.it/prodotto/i/359943
http://www.cnr.it/prodotto/i/359943
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