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pro vyhledávání: '"satellite optical imagery"'
Akademický článek
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Autor:
Shengwu Qin, Xu Guo, Jingbo Sun, Shuangshuang Qiao, Lingshuai Zhang, Jingyu Yao, Qiushi Cheng, Yanqing Zhang
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3383 (2021)
Using convolutional neural network (CNN) methods and satellite images for landslide identification and classification is a very efficient and popular task in geological hazard investigations. However, traditional CNNs have two disadvantages: (1) insu
Externí odkaz:
https://doaj.org/article/fe6b18494daa4abbbb031df564905e8c
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2623 (2021)
The detection of arbitrary-oriented and multi-scale objects in satellite optical imagery is an important task in remote sensing and computer vision. Despite significant research efforts, such detection remains largely unsolved due to the diversity of
Externí odkaz:
https://doaj.org/article/0f6bd691bef9455fb49c4ed6ee457a17
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 377 (2020)
Using automated supervised methods with satellite and aerial imageries for liquefaction mapping is a promising step in providing detailed and region-scale maps of liquefaction extent immediately after an earthquake. The accuracy of these methods depe
Externí odkaz:
https://doaj.org/article/4ff947b363d0434ca1445afc461570fb
Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1151 (2019)
Satellite imagery represents a unique opportunity to quantify the spatial and temporal changes of glaciers world-wide. Glacier velocity has been measured from repeat satellite scenes for decades now, yet a range of satellite missions, feature trackin
Externí odkaz:
https://doaj.org/article/09f46a8c21044b32ab71497e1c3d30ce
Autor:
Marie Boichu, Raphael Grandin
Publikováno v:
La Météorologie
La Météorologie, Météo et Climat, 2021, pp.002. ⟨10.37053/lameteorologie-2021-0078⟩
La Météorologie, 2021, 114, pp.002. ⟨10.37053/lameteorologie-2021-0078⟩
La Météorologie, Météo et Climat, 2021, pp.002. ⟨10.37053/lameteorologie-2021-0078⟩
La Météorologie, 2021, 114, pp.002. ⟨10.37053/lameteorologie-2021-0078⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c24df219b511839dafd9c7415c47c60
https://hal.archives-ouvertes.fr/hal-03443871
https://hal.archives-ouvertes.fr/hal-03443871
Publikováno v:
Remote Sensing, Vol 13, Iss 2623, p 2623 (2021)
Remote Sensing; Volume 13; Issue 13; Pages: 2623
Remote Sensing; Volume 13; Issue 13; Pages: 2623
The detection of arbitrary-oriented and multi-scale objects in satellite optical imagery is an important task in remote sensing and computer vision. Despite significant research efforts, such detection remains largely unsolved due to the diversity of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f26f4263ab5d51ce45fee8dc07f0ee9
https://www.mdpi.com/2072-4292/13/13/2623
https://www.mdpi.com/2072-4292/13/13/2623
Akademický článek
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Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1151 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
instname
REMOTE SENSING
Remote Sensing
Volume 11
Issue 10
Digital.CSIC. Repositorio Institucional del CSIC
instname
REMOTE SENSING
Remote Sensing
Volume 11
Issue 10
Satellite imagery represents a unique opportunity to quantify the spatial and temporal changes of glaciers world-wide. Glacier velocity has been measured from repeat satellite scenes for decades now, yet a range of satellite missions, feature trackin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142e342c693422627a9f0bd229da19b1
https://hdl.handle.net/11250/2828421
https://hdl.handle.net/11250/2828421
Publikováno v:
Remote Sensing
Volume 12
Issue 3
Pages: 377
Remote Sensing, Vol 12, Iss 3, p 377 (2020)
Volume 12
Issue 3
Pages: 377
Remote Sensing, Vol 12, Iss 3, p 377 (2020)
Using automated supervised methods with satellite and aerial imageries for liquefaction mapping is a promising step in providing detailed and region-scale maps of liquefaction extent immediately after an earthquake. The accuracy of these methods depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ae63f4519e66d742e79073c47ed0db7