Zobrazeno 1 - 10 of 22 pro vyhledávání: '"Zhengli Zhu"'
1
Akademický článek
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data
Autor: Zhixian Huang, Xiao Huang, Jiangchuan Fan, Markus P. Eichhorn, Feng An, Bangqian Chen, Lin Cao, Zhengli Zhu, Ting Yun
Publikováno v: Remote Sensing, Vol 12, Iss 8, p 1318 (2020)
Rubber trees along the southeast coast of China always suffer severe damage from hurricanes. Quantitative assessments of the capacity for wind resistance of various rubber tree clones are currently lacking. We focus on a vulnerability assessment of r
Externí odkaz: https://doaj.org/article/2e55e64aec1c4e18b90bf252936e1ca2
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2
Akademický článek
Research on similarity measurement for texture image retrieval.
Autor: Zhengli Zhu, Chunxia Zhao, Yingkun Hou
Publikováno v: PLoS ONE, Vol 7, Iss 9, p e45302 (2012)
A complete texture image retrieval system includes two techniques: texture feature extraction and similarity measurement. Specifically, similarity measurement is a key problem for texture image retrieval study. In this paper, we present an effective
Externí odkaz: https://doaj.org/article/6466db78c1b74e9f8a3a518a4bad55c1
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3
An Improved Salp Swarm Algorithm for Solving Node Coverage Optimization problem in WSN
Autor: Jiaming Wang, Zhengli Zhu, Fuquang Zhang, Yanxiong Liu
To address the problem that it is easy to form coverage blind areas when wireless sensor networks are randomly deployed, an improved coverage optimization algorithm based on improved Salpa swarm Intelligent algorithm (ATSSA) is proposed for wireless
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::baa740e29609411cf670d5046bda5c85
https://doi.org/10.20944/preprints202304.1025.v1
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4
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data
Autor: Lin Cao, Jiangchuan Fan, Huang Zhixian, Huang Xiao, Ting Yun, Markus P. Eichhorn, Zhengli Zhu, Feng An, Bangqian Chen
Publikováno v: Remote Sensing, Vol 12, Iss 1318, p 1318 (2020)
Remote Sensing; Volume 12; Issue 8; Pages: 1318
Rubber trees along the southeast coast of China always suffer severe damage from hurricanes. Quantitative assessments of the capacity for wind resistance of various rubber tree clones are currently lacking. We focus on a vulnerability assessment of r
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6472e3eaccc4034a144db28a9e96a236
https://www.mdpi.com/2072-4292/12/8/1318
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7
Texture Image Retrieval Based on NSCT and DT-CWT
Autor: Yingkun Hou, Chunxia Zhao, Zhengli Zhu
Publikováno v: International Journal of Advancements in Computing Technology. 3:346-353
This paper presents a novel algorithm for texture image retrieval based on nonsubsampled contourlet(NSCT) and Dual-tree complex wavelet transform(DT-CWT). Nonsubsampled contourlet transform has anisotropy and translation invariability. DT-CWT not onl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6fadf430ed6490f385115bbdfc7651d
https://doi.org/10.4156/ijact.vol3.issue11.44
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10
Texture Image Classification Based on Nonsubsampled Contourlet Transform and Local Binary Patterns
Autor: Chunxia Zhao, Zhengli Zhu, Yingkun Hou
Publikováno v: International Journal of Digital Content Technology and its Applications. 4:186-193
This paper presents a new approach of texture image classification based on nonsubsampled contourlet transform, Local binary patterns and Support vector machines. Nonsubsampled contourlet transform and Local binary patterns are used to extract textur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ca0dbb94098651ddea44b2e821cb0bb
https://doi.org/10.4156/jdcta.vol4.issue9.23
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