Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Fusion result"'
Publikováno v:
Sensors, Vol 24, Iss 8, p 2628 (2024)
Combining multiple devices for localization has important applications in the military field. This paper exploits the land-based short-wave platforms and satellites for fusion localization. The ionospheric reflection height error and satellite positi
Externí odkaz:
https://doaj.org/article/861c94bde35d4281a5b80e8da3f9a308
Akademický článek
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Publikováno v:
Menoufia Journal of Electronic Engineering Research. 30:79-83
Fusion ofimages has an important role in medical image diagnosis. Medical imaging systems have some limitations due to degradations and noise. Hence, it is necessary to apply some techniques such as image fusion to integrate information from differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b134c3732aa38c1906a81cd11c0a8768
https://doi.org/10.21608/mjeer.2021.195522
https://doi.org/10.21608/mjeer.2021.195522
Autor:
Wen-long Chen, Lai-xian Zhang
Publikováno v:
AOPC 2021: Novel Technologies and Instruments for Astronomical Multi-Band Observations.
In order to improve the accuracy and speed of cat-eye target recognition, a cat-eye target recognition method combining fully convolutional residual network and visual saliency is proposed. This method is based on semantic segmentation. Firstly, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e6a29eb0407df6fbe45d871c233162a
https://doi.org/10.1117/12.2605963
https://doi.org/10.1117/12.2605963
Publikováno v:
CVPR
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increases. In order to reduce the huge cost of stereo matching at the original
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b7c2c058feb519f44e1dd03b45a843
Publikováno v:
CSAE
The Dempster-Shafer evidence theory (D-S evidence theory) has been applied in many fields for its superiority in dealing with uncertainty information and ignorance. However, independent evidence cannot be well dealt with by the classical D-S theory,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410e0b36f3d1248735db9175d97638c3
https://doi.org/10.1145/3424978.3425140
https://doi.org/10.1145/3424978.3425140
Publikováno v:
ISBI
The use of quantitative radiomic features of MRI to predict the aggressiveness of prostate cancer has attracted increasing amounts of attention due to its potential as anon-invasive biomarker for prostate cancer. In this study, to predict prostate ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708675da3048a253dfac583f9ee8104c
https://doi.org/10.1109/isbi45749.2020.9098375
https://doi.org/10.1109/isbi45749.2020.9098375
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
The use of quantitative radiomic features of MRI to predict the aggressiveness of prostate cancer has attracted increasing amounts of attention due to its potential as a non-invasive biomarker for prostate cancer. Although clinical studies have shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89bcc200ee9a1664e876bd1396ed0acd
https://doi.org/10.1117/12.2551298
https://doi.org/10.1117/12.2551298
Autor:
Shangdong Liu, Liu Yanlan, Kaihang Liu, Wan Xiao, Yimu Ji, Shuning Tang, Xu Zhengyang, Lin Hu, Liu Qiang
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783030602383
ICA3PP (2)
ICA3PP (2)
Knowledge fusion is an important part of constructing a knowledge graph. In recent years, with the development of major knowledge bases, the integration of multi-source knowledge bases is the focus and difficulty in the field of knowledge fusion. Due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6afd8efcaf43189b64f3dcb4e86520e4
https://doi.org/10.1007/978-3-030-60239-0_30
https://doi.org/10.1007/978-3-030-60239-0_30
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11:821-829
We propose a novel spatiotemporal fusion method based on deep convolutional neural networks (CNNs) under the application background of massive remote sensing data. In the training stage, we build two five-layer CNNs to deal with the problems of compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c755baf2089381725cb8bbfbcef2c0
https://doi.org/10.1109/jstars.2018.2797894
https://doi.org/10.1109/jstars.2018.2797894