Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jiyan Yin"'
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 45 (2021)
Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well as the ecological balance and fire products based on remote sensing satellite data have developed rapidly. However, the early forest fire smoke in remote s
Externí odkaz:
https://doaj.org/article/91063a0f2ed84ef8ba59fe6a088e90dc
Publikováno v:
Sensors, Vol 21, Iss 23, p 7785 (2021)
Training a deep learning-based classification model for early wildfire smoke images requires a large amount of rich data. However, due to the episodic nature of fire events, it is difficult to obtain wildfire smoke image data, and most of the samples
Externí odkaz:
https://doaj.org/article/d1086360a8d347c1bc907774c49b166d
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7785, p 7785 (2021)
Sensors; Volume 21; Issue 23; Pages: 7785
Sensors, Vol 21, Iss 7785, p 7785 (2021)
Sensors; Volume 21; Issue 23; Pages: 7785
Training a deep learning-based classification model for early wildfire smoke images requires a large amount of rich data. However, due to the episodic nature of fire events, it is difficult to obtain wildfire smoke image data, and most of the samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2630a1fed207ada698a3de3794bf93d9
http://europepmc.org/articles/PMC8659729
http://europepmc.org/articles/PMC8659729
Publikováno v:
Electronics, Vol 10, Iss 2675, p 2675 (2021)
Electronics
Volume 10
Issue 21
Electronics
Volume 10
Issue 21
Forest fire smoke detection based on deep learning has been widely studied. Labeling the smoke image is a necessity when building datasets of target detection and semantic segmentation. The uncertainty in labeling the forest fire smoke pixels caused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fa5e2109fbc6399fcff860e5f6e2415
https://www.mdpi.com/2079-9292/10/21/2675
https://www.mdpi.com/2079-9292/10/21/2675