Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Haibin Mei"'
Publikováno v:
Journal of Imaging, Vol 9, Iss 7, p 141 (2023)
In hyperspectral image (HSI) classification, convolutional neural networks (CNNs) have been widely employed and achieved promising performance. However, CNN-based methods face difficulties in achieving both accurate and efficient HSI classification d
Externí odkaz:
https://doaj.org/article/efc5147641a44f7b8d7859665e6c2bd2
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4342 (2021)
In hyperspectral image (HSI) classification, convolutional neural networks (CNN) have been attracting increasing attention because of their ability to represent spectral-spatial features. Nevertheless, the conventional CNN models perform convolution
Externí odkaz:
https://doaj.org/article/cb492dd9d46f47d7ba984d8d0b09d803
Publikováno v:
Sensors, Vol 17, Iss 7, p 1693 (2017)
The rapid development of remote sensing (RS) technology has resulted in the proliferation of high-resolution images. There are challenges involved in not only storing large volumes of RS images but also in rapidly retrieving the images for ocean disa
Externí odkaz:
https://doaj.org/article/7f9d88e3166a4664b4b9dc57e6ef607d
Publikováno v:
Neurocomputing. 527:204-232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb54308ef5ae5b10d7714711699a83f7
https://doi.org/10.1016/j.neucom.2023.01.056
https://doi.org/10.1016/j.neucom.2023.01.056
Publikováno v:
Remote Sensing
Volume 13
Issue 21
Pages: 4342
Remote Sensing, Vol 13, Iss 4342, p 4342 (2021)
Volume 13
Issue 21
Pages: 4342
Remote Sensing, Vol 13, Iss 4342, p 4342 (2021)
In hyperspectral image (HSI) classification, convolutional neural networks (CNN) have been attracting increasing attention because of their ability to represent spectral-spatial features. Nevertheless, the conventional CNN models perform convolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11d58aa79045373cacc26e0bcdd19d2b
Publikováno v:
Sensors, Vol 17, Iss 7, p 1693 (2017)
Sensors; Volume 17; Issue 7; Pages: 1693
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 7; Pages: 1693
Sensors (Basel, Switzerland)
The rapid development of remote sensing (RS) technology has resulted in the proliferation of high-resolution images. There are challenges involved in not only storing large volumes of RS images but also in rapidly retrieving the images for ocean disa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::534b43dab2974d5a7b35e1e0343b5376
https://doi.org/10.3390/s17071693
https://doi.org/10.3390/s17071693
Autor:
Haibin Mei, Minghua Zhang
Publikováno v:
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013).
How to filtering false positives is a fundamental problem of IDS. Constructing alert classification model is one of efficient methods. However, the high cost of preparing training data and classification feature selection are key points in the proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2149a4f9b82d5274f24ab98baaee932
https://doi.org/10.2991/iccsee.2013.187
https://doi.org/10.2991/iccsee.2013.187
Publikováno v:
2010 International Conference on Electrical and Control Engineering.
Ocean data have important characteristics of multi-dimension, heterogeneity, magnanimity and high security. Efficient organization and management of ocean data is the strong support of building practical ocean applications. Current research on ocean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97cc7d31d972a7243f858d269d267838
https://doi.org/10.1109/icece.2010.1234
https://doi.org/10.1109/icece.2010.1234
Publikováno v:
2010 International Conference on Electrical & Control Engineering (ICECE); 2010, p5100-5103, 4p
Publikováno v:
2006 First International Conference on Communications & Networking in China; 2006, p1-5, 5p