Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Huidi Jia"'
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 74 (2023)
Hyperspectral anomaly detection is an important unsupervised binary classification problem that aims to effectively distinguish between background and anomalies in hyperspectral images (HSIs). In recent years, methods based on low-rank tensor represe
Externí odkaz:
https://doaj.org/article/46d6af6d6a56496c82b4b0b090945db1
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
In this paper, we apply kernel methods to deep convolutional neural network (DCNN) to improve its nonlinear ability. DCNNs have achieved significant improvement in many computer vision tasks. For an image classification task, the accuracy comes to sa
Externí odkaz:
https://doaj.org/article/ba9db2912cc342ce8e2c075d3b478ac5
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Limited by hardware conditions, imaging devices, transmission efficiency, and other factors, high-resolution (HR) images cannot be obtained directly in clinical settings. It is expected to obtain HR images from low-resolution (LR) images for more det
Externí odkaz:
https://doaj.org/article/46ee1950aabe48d196e577d53956a161
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4470 (2022)
Hyperspectral images (HSIs) have high spectral resolution and low spatial resolution. HSI super-resolution (SR) can enhance the spatial information of the scene. Current SR methods have generally focused on the direct utilization of image structure p
Externí odkaz:
https://doaj.org/article/a2ef87473a7c45e58a6811dbca5109ca
Publikováno v:
2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20e2a069f911bc6a7fe407678cce15aa
https://doi.org/10.1109/cyber55403.2022.9907319
https://doi.org/10.1109/cyber55403.2022.9907319
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b26789cb3f1cc1fe9a61367f89f6ae32
https://doi.org/10.1007/978-3-031-13822-5_45
https://doi.org/10.1007/978-3-031-13822-5_45
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f9e0204fb2bad05a09a781ed5f6d29d
https://doi.org/10.1007/978-3-031-13841-6_12
https://doi.org/10.1007/978-3-031-13841-6_12
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a6fcead130e31838a2896ce068b7385
https://doi.org/10.1007/978-3-031-13822-5_43
https://doi.org/10.1007/978-3-031-13822-5_43
Publikováno v:
Knowledge-Based Systems. 255:109723
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::349217d060bf3f7d9d282b9af61cbba0
https://doi.org/10.1016/j.knosys.2022.109723
https://doi.org/10.1016/j.knosys.2022.109723
Publikováno v:
2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
We propose a super-resolution method for hyperspectral image (HSI) that utilizes relaxed low tensor train (TT) rank representation with structural smoothness in this paper. Nonlocal similarity is exploited by grouping the similar HSI cubes. The 4D te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa50fc43c7a51918c3ca6227a8c37f6
https://doi.org/10.1109/cyber50695.2020.9279193
https://doi.org/10.1109/cyber50695.2020.9279193