Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Shengqi LIU"'
Publikováno v:
Leida xuebao, Vol 13, Iss 2, Pp 471-484 (2024)
The global scattering-center model is a high-performance electromagnetic scattering parametric model for complex targets in an optical region. The traditional methods for constructing global scattering models are usually based on candidate-point scre
Externí odkaz:
https://doaj.org/article/a8d3b0244ff5490689b48fedd5c82e91
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5193-5203 (2024)
Synthetic aperture radar (SAR) image target detection methods based on semisupervised learning, such as the mean teacher framework, have shown promise in diminishing the issue of limited labeled data. However, several challenges exist in current meth
Externí odkaz:
https://doaj.org/article/fd359cadb91e4bb79b11ac8080a17999
Publikováno v:
Leida xuebao, Vol 12, Iss 1, Pp 140-153 (2023)
In the Synthetic Aperture Radar (SAR) ship target detection task, the targets have a large aspect ratio and dense distribution, and they are arranged in arbitrary directions. The oriented bounding box-based detection methods can output accurate detec
Externí odkaz:
https://doaj.org/article/97f1b9a300644872914b90f4a6659e03
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5369 (2023)
In order to further promote the accuracy of state estimation and track extraction capabilities for multi-target tracking, a sequential joint state estimation and track extraction algorithm is proposed in this article. This algorithm is based on backw
Externí odkaz:
https://doaj.org/article/57044e5b02394fa2b100dc7b9a437f3b
Publikováno v:
Progress in Electromagnetics Research C; 2023, Vol. 138, p145-159, 15p
Publikováno v:
International Journal on Artificial Intelligence Tools.
With the continuous exploitation of coal resources, human safety has been seriously threatened during the mining process. Therefore, it is of great significance to establish an efficient human infrared image recognition system. In this paper, three c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9637915d3280d0223dbc85fbd8f89641
https://doi.org/10.1142/s0218213023600047
https://doi.org/10.1142/s0218213023600047
Publikováno v:
Polymers, Vol 13, Iss 3498, p 3498 (2021)
Polymers
Volume 13
Issue 20
Polymers
Volume 13
Issue 20
Considering economic and environmental impacts, catalytic biomass conversion to valuable compounds has attracted more and more attention. Of particular interest is furfural, a versatile biorefinery platform molecule used as a feedstock for the produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e43d34c3ab58aecdbd2584622c14165
https://www.mdpi.com/2073-4360/13/20/3498
https://www.mdpi.com/2073-4360/13/20/3498
Publikováno v:
Journal of Physics: Conference Series. 2384:012012
Aiming at the problem of multi-view high-resolution range profile (HRRP) target recognition under open set conditions, we proposed an open set recognition method based on joint sparse representation (JSR), which solves the problem of low recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac0b0d8fc92f2839c7242c977c9a690
https://doi.org/10.1088/1742-6596/2384/1/012012
https://doi.org/10.1088/1742-6596/2384/1/012012
Publikováno v:
2019 Chinese Automation Congress (CAC).
In the traditional attitude estimation algorithm, the attitude calculation accuracy is prone to varied elements that might lead to deterioration of performances. To overcome the difficulties and to improve the gesture measurement accuracy, especially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a15edc05b8cdebbc81c3d0c8ae0b7d7
https://doi.org/10.1109/cac48633.2019.8997507
https://doi.org/10.1109/cac48633.2019.8997507
Publikováno v:
Digital Signal Processing. 111:102961
For joint tracking and classification (JTC) of multiple extended targets in the presence of clutter and detection uncertainty, this paper proposes a recursive algorithm based on the probability hypothesis density (PHD) filter and star-convex random h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5c45969d53511dceec8a4bdfe9ecc69
https://doi.org/10.1016/j.dsp.2020.102961
https://doi.org/10.1016/j.dsp.2020.102961