Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zaijun Hua"'
Publikováno v:
Tongxin xuebao, Vol 42, Pp 92-102 (2021)
Aiming at the phenomenon that the hyperspectral classification algorithm based on traditional CNN model was not expressive enough in detail and the network structure was too complex, a hyperspectral image classification method based on multi-scale pr
Externí odkaz:
https://doaj.org/article/bd3e39ba09c1488c84738d04c67cfe8d
Publikováno v:
Tongxin xuebao, Vol 41, Pp 132-140 (2020)
Aiming at the issues of decreasing spatial resolution and feature loss caused by pooling operation in depth CNN-based hyperspectral image classification algorithm,a bilateral fusion block network （DFBN）composed of bilateral fusion blocks was desi
Externí odkaz:
https://doaj.org/article/404096c913d1445fb135390dbd5c2b08
Publikováno v:
Micromachines, Vol 12, Iss 5, p 545 (2021)
The convolutional neural network (CNN) has been proven to have better performance in hyperspectral image (HSI) classification than traditional methods. Traditional CNN on hyperspectral image classification is used to pay more attention to spectral fe
Externí odkaz:
https://doaj.org/article/d750389f56b746568885c3288b9b449a
Publikováno v:
Sensors, Vol 19, Iss 15, p 3269 (2019)
Hyperspectral remote sensing images (HSIs) have great research and application value. At present, deep learning has become an important method for studying image processing. The Generative Adversarial Network (GAN) model is a typical network of deep
Externí odkaz:
https://doaj.org/article/2e7db3138b194432b3ace19cd33dfa95
Publikováno v:
Micromachines, Vol 12, Iss 545, p 545 (2021)
Micromachines
Volume 12
Issue 5
Micromachines
Volume 12
Issue 5
The convolutional neural network (CNN) has been proven to have better performance in hyperspectral image (HSI) classification than traditional methods. Traditional CNN on hyperspectral image classification is used to pay more attention to spectral fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2643fdea4e31aa9c71dfa14fbfc55faf
https://www.mdpi.com/2072-666X/12/5/545
https://www.mdpi.com/2072-666X/12/5/545
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 66:66-70
This brief shows that applying a linear feedback shift register (LFSR) dither to a digital delta–sigma modulator (DDSM) cannot always increase its fundamental period. For some DDSMs, the LFSR dither may reduce its period in some cases, instead of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8694b8fb16c4d1d0d3201d432a105189
https://doi.org/10.1109/tcsii.2018.2828600
https://doi.org/10.1109/tcsii.2018.2828600
Publikováno v:
Journal of Electronic Imaging. 29:1
In order to make full use of the spatial–spectral information of hyperspectral images (HSIs), a multiscale three-dimensional (3-D) convolutional neural network (CNN) model is proposed to extract the features of HSIs and classify them. First, the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5402b1fccd937026e2b15e8f405516f
https://doi.org/10.1117/1.jei.29.1.013007
https://doi.org/10.1117/1.jei.29.1.013007
Publikováno v:
Journal of Circuits, Systems and Computers. 28:1950188
This paper proposes a Multi-stAge noise SHaping (MASH) digital delta-sigma modulator (DDSM) with negative feedback to acquire the maximum sequence length. The mathematical analysis shows that the sequence length is [Formula: see text], which is not a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb61c8993ff4a902c04a92c7503f6df9
https://doi.org/10.1142/s0218126619501883
https://doi.org/10.1142/s0218126619501883
Publikováno v:
Journal of Computer Applications. 33:3398-3401
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e361767966790e666b8d18db1ab531e
https://doi.org/10.3724/sp.j.1087.2013.03398
https://doi.org/10.3724/sp.j.1087.2013.03398
Publikováno v:
2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS).
This paper designs a LC-VCO in the frequency synthesizer for wireless sensor network applications. The whole system is based on 1V low voltage with the process of TSMC 0.18µm RF-CMOS. The negative resistor pair is provided by cross-coupled PMOS tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecd5ee34c09162235667a6dc961f232a
https://doi.org/10.1109/comcas.2015.7360438
https://doi.org/10.1109/comcas.2015.7360438