Zobrazeno 1 - 10
of 359
pro vyhledávání: '"fully convolutional network (FCN)"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1309-1325 (2024)
Visual Attention Prediction (VAP) is widely applied in GIS research, such as navigation task identification and driver assistance systems. Previous studies commonly took color information to detect the visual saliency of natural scene images. However
Externí odkaz:
https://doaj.org/article/9825a8ee5d894acd99a8dd11672ba964
Autor:
S. Hemalatha, M. Sangeetha
Publikováno v:
Brazilian Journal of Biology, Vol 84 (2024)
Abstract Unmanned Aerial Vehicles (UAVs), often called drones, have gained progressive prevalence for their swift operational ability as well as their extensive applicability in diverse real-world situations. Of late, UAV usage in precision agricultu
Externí odkaz:
https://doaj.org/article/efdce0cf040248ce8e838e6d473d2903
Publikováno v:
Sensors, Vol 24, Iss 16, p 5386 (2024)
With the advancement of deep learning, related networks have shown strong performance for Hyperspectral Image (HSI) classification. However, these methods face two main challenges in HSI classification: (1) the inability to capture global information
Externí odkaz:
https://doaj.org/article/5be0fe72bef74294b7b811d2f481f989
Autor:
Nan Mu, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Cassie Bonifas, Jordan Gosnell, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
With the success of U-Net or its variants in automatic medical image segmentation, building a fully convolutional network (FCN) based on an encoder-decoder structure has become an effective end-to-end learning approach. However, the intrinsic propert
Externí odkaz:
https://doaj.org/article/cc4892c94c644972a65e0810bdcb5573
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9077-9088 (2023)
Hyperspectral image classification using deep learning techniques has received great attention in recent years, considering the powerful spatial feature mining ability of deep learning. Fully convolutional network is an effective deep learning archit
Externí odkaz:
https://doaj.org/article/f2a85b54487e465789fce9449016c7f4
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 296 (2024)
Deep neural networks have achieved remarkable results in the field of polarimetric synthetic aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle imaging, resulting in PolSAR images usually containing a large amount of
Externí odkaz:
https://doaj.org/article/727f855a5a0849edae38d3f730310233
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Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 39, Iss 02, Pp 196-207 (2022)
Accurate and reliable breast tumor segmentation is essential for the diagnosis, treatment and prognosis of breast cancer. To address the shortcomings of existing dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI)-based breast tumor segmen
Externí odkaz:
https://doaj.org/article/00abb2032b4d407192dd6485f55b9173