Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiaoyong Men"'
Autor:
Chaoyue Zhao, Qingyun Wang, Xiaoyong Men, Yuchen Li, Linmin Zhang, Yonghui Bai, Xudong Song, Jiaofei Wang, Min Yao, Guangsuo Yu
Publikováno v:
Molecules, Vol 28, Iss 23, p 7858 (2023)
The co-gasification of biomass and coal is helpful for achieving the clean and efficient utilization of phosphorus-rich biomass. A large number of alkali and alkaline earth metals (AAEMs) present in the ash system of coal (or biomass) cause varying d
Externí odkaz:
https://doaj.org/article/155fa6d1a9704fda9bf478ecd5351c2e
Publikováno v:
Proceedings of the 2020 3rd International Conference on Image and Graphics Processing.
As the first step of the automatic image interpretation system, the automatic detection of the target must be accurate and fast. For synthetic aperture radar (SAR) images, CFAR detection algorithm is the most commonly used target detection framework.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bee2c63243542ca1b63e7a0027787ca
https://doi.org/10.1145/3383812.3383820
https://doi.org/10.1145/3383812.3383820
Publikováno v:
Recent Trends in Intelligent Computing, Communication and Devices ISBN: 9789811394058
Target recognition about synthetic aperture radar (SAR) image using weight sparse representation-based classification (WSRC) is one of the research hotspots in recent years. For test samples, the weight coefficient of a training sample is computed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9382cf90e82a39db1fd60c9411d36713
https://doi.org/10.1007/978-981-13-9406-5_42
https://doi.org/10.1007/978-981-13-9406-5_42
Publikováno v:
Proceedings of the 2nd International Conference on Image and Graphics Processing.
In this paper, we propose a new classification method based on graph wavelet filter banks and 2DPCA for target recognition in synthetic aperture radar (SAR) image. Graph wavelet transformation can provide multi-scale analysis similar to traditional w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2020cf81443064231fc7c0de6a2c2fe
https://doi.org/10.1145/3313950.3313956
https://doi.org/10.1145/3313950.3313956
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811358401
ICGEC
ICGEC
In recent years, dynamic texture classification has caused widespread concern in the image sequence analysis field. We propose a new method of combining relative phase information of dynamic texture in the complex wavelet domain with probability dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::537d27347ca181ae6a8eca7549e4f03a
https://doi.org/10.1007/978-981-13-5841-8_67
https://doi.org/10.1007/978-981-13-5841-8_67