Zobrazeno 1 - 10
of 55
pro vyhledávání: '"MTT algorithm"'
Autor:
Michele Salis, Liliana Del Giudice, Fermin Alcasena-Urdiroz, Roghayeh Jahdi, Bachisio Arca, Grazia Pellizzaro, Carla Scarpa, Pierpaolo Duce
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
The growing threats posed by wildfires in Southern Europe are calling for the development of comprehensive and sound management and risk assessment strategies. In this work, we present the application of wildfire simulation modeling based on the mini
Externí odkaz:
https://doaj.org/article/f50671b21d5d41b79fbd97260c54b393
Publikováno v:
IEEE Access, Vol 8, Pp 32966-32974 (2020)
Influenced by the force of the wind and agricultural operations, fruits often undergo oscillation, which makes it difficult to automatically monitor their growing status. It is very important to realize dynamic tracking of these oscillating fruits in
Externí odkaz:
https://doaj.org/article/e15fccfb9fad4ed8b1dd90be0c050beb
Autor:
Michele Salis, Liliana Del Giudice, Roghayeh Jahdi, Fermin Alcasena-Urdiroz, Carla Scarpa, Grazia Pellizzaro, Valentina Bacciu, Matilde Schirru, Andrea Ventura, Marcello Casula, Fabrizio Pedes, Annalisa Canu, Pierpaolo Duce, Bachisio Arca
Publikováno v:
Land, Vol 11, Iss 11, p 1942 (2022)
In Mediterranean agropastoral areas, land abandonment is a key driver of wildfire risk as fuel load and continuity increase. To gain insights into the potential impacts of land abandonment on wildfire risk in fire-prone areas, a fire-spread modeling
Externí odkaz:
https://doaj.org/article/332a27dea4a64a8184685053b9a9fa93
Akademický článek
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Publikováno v:
The Journal of Engineering (2019)
To effectively suppress clutter in airborne Doppler radar and improve multi-target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi-target Multi-Bernoulli (SMC-CBMeMB
Externí odkaz:
https://doaj.org/article/b90af1fdc51d439eabf6c6ccabfbd464
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Michele Salis, Roghayeh Jahdi, Mahdi Arabi, Pierpaolo Duce, Fermín J. Alcasena, Bachisio Arca
Publikováno v:
Natural hazards (Dordr.) 101 (2020): 911–932. doi:10.1007/s11069-020-03901-4
info:cnr-pdr/source/autori:Jahdi, Roghayeh; Salis, Michele; Alcasena, Fermin J.; Arabi, Mahdi; Arca, Bachisio; Duce, Pierpaolo/titolo:Evaluating landscape-scale wildfire exposure in northwestern Iran/doi:10.1007%2Fs11069-020-03901-4/rivista:Natural hazards (Dordr.)/anno:2020/pagina_da:911/pagina_a:932/intervallo_pagine:911–932/volume:101
info:cnr-pdr/source/autori:Jahdi, Roghayeh; Salis, Michele; Alcasena, Fermin J.; Arabi, Mahdi; Arca, Bachisio; Duce, Pierpaolo/titolo:Evaluating landscape-scale wildfire exposure in northwestern Iran/doi:10.1007%2Fs11069-020-03901-4/rivista:Natural hazards (Dordr.)/anno:2020/pagina_da:911/pagina_a:932/intervallo_pagine:911–932/volume:101
We implemented a fine-scale fire modeling approach to assess wildfire exposure in the highly valued resources and assets (HVRAs) of Ardabil Province (18,000 km(2)), northwestern Iran. For this purpose, we used the minimum travel time algorithm and si
Publikováno v:
IEEE Access, Vol 8, Pp 32966-32974 (2020)
Influenced by the force of the wind and agricultural operations, fruits often undergo oscillation, which makes it difficult to automatically monitor their growing status. It is very important to realize dynamic tracking of these oscillating fruits in
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 577-581 (2019)
The international archives of the photogrammetry, remote sensing and spatial information sciences
42 (2019): 577–581. doi:10.5194/isprs-archives-XLII-4-W18-577-2019
info:cnr-pdr/source/autori:Jahdi, R.; Salis, M.; Arabi, M.; Arca, B./titolo:Fire modelling to assess spatial patterns of wildfire exposure in Ardabil, NW Iran/doi:10.5194%2Fisprs-archives-XLII-4-W18-577-2019/rivista:The international archives of the photogrammetry, remote sensing and spatial information sciences (Print)/anno:2019/pagina_da:577/pagina_a:581/intervallo_pagine:577–581/volume:42
The international archives of the photogrammetry, remote sensing and spatial information sciences
42 (2019): 577–581. doi:10.5194/isprs-archives-XLII-4-W18-577-2019
info:cnr-pdr/source/autori:Jahdi, R.; Salis, M.; Arabi, M.; Arca, B./titolo:Fire modelling to assess spatial patterns of wildfire exposure in Ardabil, NW Iran/doi:10.5194%2Fisprs-archives-XLII-4-W18-577-2019/rivista:The international archives of the photogrammetry, remote sensing and spatial information sciences (Print)/anno:2019/pagina_da:577/pagina_a:581/intervallo_pagine:577–581/volume:42
Fire exposure describes the spatial juxtaposition of values with fire behaviour in terms of likelihood and intensity. Wildfire exposure analysis is based on the estimation of the potential wildfire intensity and on the burn probability. Fire modellin
Publikováno v:
The Journal of Engineering (2019)
To effectively suppress clutter in airborne Doppler radar and improve multi-target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi-target Multi-Bernoulli (SMC-CBMeMB