Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Xingmin Cai"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Earthquake Triggered Landslides (ETLs) are serious secondary hazards of earthquakes, causing severe casualties and property losses, and their rapid, automated and accurate detection is of great value. Due to the all-day and all-weather imaging capabi
Externí odkaz:
https://doaj.org/article/760fe3c373804f25998a6dbd664676bc
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104185- (2024)
Deep Neural Networks (DNNs) have garnered significant attention across various research domains due to their impressive performance, particularly Convolutional Neural Networks (CNNs), known for their exceptional accuracy in image processing tasks. Ho
Externí odkaz:
https://doaj.org/article/81eb129a191f4822b2bd92341f45b1e3
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103878- (2024)
Attention mechanisms have found extensive application in Deep Neural Networks (DNNs), with numerous experiments over time showcasing their efficacy in improving the overall performance of DNNs. Considering the black-box nature of DNNs, it is unclear
Externí odkaz:
https://doaj.org/article/f3041729331e441284d7a173f703dd7f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103287- (2023)
Water detection from SAR imagery has significant values, such as the flood monitoring and environmental protection. Nowadays, significant progress has been achieved in water detection using deep neural network (DNN) methods, but the blackbox behavior
Externí odkaz:
https://doaj.org/article/00c8b193de384b1b92659f6ade0ac625
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3650 (2021)
Although deep learning has achieved great success in aircraft detection from SAR imagery, its blackbox behavior has been criticized for low comprehensibility and interpretability. Such challenges have impeded the trustworthiness and wide application
Externí odkaz:
https://doaj.org/article/4f713922be9c429888ddd552ecd50396
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2940 (2021)
In aircraft detection from synthetic aperture radar (SAR) images, there are several major challenges: the shattered features of the aircraft, the size heterogeneity and the interference of a complex background. To address these problems, an Efficient
Externí odkaz:
https://doaj.org/article/a178b1a7069a45bf9af508842913fa91
Publikováno v:
ACS Omega, Vol 2, Iss 3, Pp 774-783 (2017)
Externí odkaz:
https://doaj.org/article/6219dfc8e2554e9ebc80bbe3ed450ca5
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 910 (2021)
The automatic detection of aircrafts from SAR images is widely applied in both military and civil fields, but there are still considerable challenges. To address the high variety of aircraft sizes and complex background information in SAR images, a n
Externí odkaz:
https://doaj.org/article/20d4cec0788f44d3bfd9d38be654896a
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e9e43576f958ffe2f0e48890b668ace
https://doi.org/10.1109/lgrs.2021.3105722
https://doi.org/10.1109/lgrs.2021.3105722
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46ae979f41be2789f79a2105ff55c570
https://doi.org/10.1109/tgrs.2022.3162235
https://doi.org/10.1109/tgrs.2022.3162235