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pro vyhledávání: '"Jacob Arndt"'
Autor:
Jacob Arndt, Dalton Lunga
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2634-2648 (2021)
Remote sensing in combination with deep learning has become instrumental for efficiently and accurately classifying land-use and land-cover across large geographic areas. These technologies have also been successful in characterizing urban environmen
Externí odkaz:
https://doaj.org/article/059a93491bc3405e936465831d61ee88
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10468-10483 (2021)
As satellite imagery collections continue to grow at an astonishing rate, so is the demand for automated and scalable object detection and segmentation. Scaling computational activities demand models that generalize well across various challenges tha
Externí odkaz:
https://doaj.org/article/61619c664a724712bc7852b1bc3f2a2c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10468-10483 (2021)
As satellite imagery collections continue to grow at an astonishing rate, so is the demand for automated and scalable object detection and segmentation. Scaling computational activities demand models that generalize well across various challenges tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcf9ae48444f07c12dad9508dffe47b5
https://doi.org/10.1109/jstars.2021.3119001
https://doi.org/10.1109/jstars.2021.3119001
Autor:
Jacob Arndt, Dalton Lunga
Publikováno v:
IGARSS
Model generalization remains a key challenge in the analysis of large amounts of heterogeneous satellite image data. One major limiting factor in developing generalizable models, in the context of supervised learning, is the lack of high quality trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b636f470bf62fc9e0ee7d5f57131c1
https://doi.org/10.1109/igarss39084.2020.9324334
https://doi.org/10.1109/igarss39084.2020.9324334
Publikováno v:
IGARSS
Machine learning and deep learning provide a means for generating urban land-use maps with relatively little human effort compared to manually digitizing images. This is especially important for supporting global and regional initiatives focused on s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea6a94fe28ead8fe5a64b54b88b1063
https://doi.org/10.1109/igarss.2019.8900083
https://doi.org/10.1109/igarss.2019.8900083
Publikováno v:
Fire Ecology. 14
In June 2017, wildfires burned 15 000 ha around the town of Knysna in the Western Cape, destroying > 800 buildings, > 5000 ha of forest plantations, and claiming the lives of seven people. We examined the factors that contributed to making this one o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff0c51ef5bb4fbb531c0379ada38893
https://doi.org/10.1186/s42408-018-0001-0
https://doi.org/10.1186/s42408-018-0001-0