Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Hongyun Meng"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5734-5749 (2024)
Spectral unmixing is a significant challenge in hyperspectral image processing. Existing unmixing methods utilize prior knowledge about the abundance distribution to solve the regularization optimization problem, where the difficulty lies in choosing
Externí odkaz:
https://doaj.org/article/49930f6920b14dbdb75a860531fb4689
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1903-1920 (2024)
In the domain of hyperspectral image (HSI) classification, the majority of deep learning methods have necessitated a substantial number of manually annotated samples to achieve outstanding results. However, the process of annotating HSI is conducted
Externí odkaz:
https://doaj.org/article/321fa73f37fd499380f355a4daa6c1e9
Autor:
Yan Zhi, Weici Liu, Xiangbo Yang, Zhongchao Wei, Shiping Du, Hongyun Meng, Hongzhan Liu, Jianping Guo, Liujing Xiang, Zhenming Huang, Haoxian Li, Faqiang Wang
Publikováno v:
Results in Physics, Vol 52, Iss , Pp 106801- (2023)
In this study, we design a one-dimensional periodic ring multi-connected optical waveguide network to solve the problem of obtaining ultra-wide photonic band gaps that are too complex for the photonic band gap width to be tuned. Analysing the spatial
Externí odkaz:
https://doaj.org/article/1141604942fb4280a1cc8ec7f7d86973
Autor:
Zhipeng Zhang, Zhao Zhang, Zijin Tong, Mingyu Yang, Junneng Guan, Yaqi Jin, Chunhua Tan, Faqiang Wang, Zhongchao Wei, Hongyun Meng
Publikováno v:
Results in Physics, Vol 52, Iss , Pp 106766- (2023)
Multifunctional metalens with tunable focus and intensity is powerfully attractive for compact planar optics. However, the limited degree of freedom in the single-layer metasurface design makes it difficult to satisfy more complicated functionalities
Externí odkaz:
https://doaj.org/article/c46cb8ed532348358d1b0606261d9c41
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1-15 (2023)
Recently, deep learning methods, particularly the convolutional neural networks, have been extensively employed for extracting spectral–spatial features in hyperspectral image (HSI) classification tasks, yielding promising results. Conventional met
Externí odkaz:
https://doaj.org/article/2eb02c9a7e4540e09dcc4b240cae91a6
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5167 (2022)
Hyperspectral unmixing decomposes the observed mixed spectra into a collection of constituent pure material signatures and the associated fractional abundances. Because of the universal modeling ability of neural networks, deep learning (DL) techniqu
Externí odkaz:
https://doaj.org/article/c5d23b001b6e41b5990dfb29f460ad43
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4910 (2022)
The lack of labeled samples severely restricts the classification performance of deep learning on hyperspectral image classification. To solve this problem, Generative Adversarial Networks (GAN) are usually used for data augmentation. However, GAN ha
Externí odkaz:
https://doaj.org/article/f08eb56f13de4b53b0d4f46ba1bb3e50
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2612 (2022)
Hyperspectral image (HSI) classification is one of the main research contents of hyperspectral technology. Existing HSI classification algorithms that are based on deep learning use a large number of labeled samples to train models to ensure excellen
Externí odkaz:
https://doaj.org/article/3541efd6cd414a25b3c680fa99be2be5
Autor:
Hongyang Shen, Chunyang Liu, Fengxiang Liu, Yaqi Jin, Banghong Guo, Zhongchao Wei, Faqiang Wang, Chunhua Tan, Xuguang Huang, Hongyun Meng
Publikováno v:
Results in Physics, Vol 23, Iss , Pp 104020- (2021)
A multi-band absorber based on a hybrid metal-graphene metasurface, which is also suitable for detecting surrounding refractive index, is proposed and studied by numerical simulation. The structure combines a metal disc with a graphene plasmon, which
Externí odkaz:
https://doaj.org/article/6777a19091294ee8be2a16df717775de
Autor:
Yongkang Song, Weici Liu, Xiaolei Wang, Faqiang Wang, Zhongchao Wei, Hongyun Meng, Ning Lin, Hongqiang Zhang
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Metasurfaces have powerful light field manipulation capabilities, which have been extensively studied in the past few years and have developed rapidly in various fields. At present, the focus of metasurface research has shifted to the tunable functio
Externí odkaz:
https://doaj.org/article/75def7ab555744999f76dc473a200a8a