Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Xiangbin Shi"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1258-1270 (2020)
Deep spectral-spatial features fusion has become a research focus in hyperspectral image (HSI) classification. However, how to extract more robust spectral-spatial features is still a challenging problem. In this article, a novel deep multilayer fusi
Externí odkaz:
https://doaj.org/article/902cca3287b144df9c57cc6464f4a85f
Publikováno v:
IEEE Access, Vol 7, Pp 69027-69041 (2019)
Unsupervised band selection plays an increasingly important role in a hyperspectral image (HSI) classification because of inadequate labeling samples. However, how to select more representative, less redundant, and informative band is an open problem
Externí odkaz:
https://doaj.org/article/04c39474e7d14831bb834a50e5b6d9c4
Publikováno v:
IEEE Access, Vol 7, Pp 174629-174640 (2019)
Action prediction aims to infer the category of an action before it is fully executed. It is a challenging task since neither sufficient discriminative information nor the definite progress state of action can be obtained in an incomplete video. In t
Externí odkaz:
https://doaj.org/article/6262c1441c554836b05b22a2affb6f71
Publikováno v:
Horticultural Plant Journal, Vol 2, Iss 2, Pp 82-90 (2016)
Light quality significantly affects photosynthetic efficiency in plants. The mechanisms for how light quality affects photosynthesis in grape is poorly understood. Therefore, to investigate the effects of different light qualities on chloroplast ultr
Externí odkaz:
https://doaj.org/article/9a22c206082b4e58b8f25d8f993fcd03
Publikováno v:
Applied Sciences, Vol 10, Iss 8, p 2811 (2020)
Effective extraction of human body parts and operated objects participating in action is the key issue of fine-grained action recognition. However, most of the existing methods require intensive manual annotation to train the detectors of these inter
Externí odkaz:
https://doaj.org/article/8a230f7d92a94bb2a2f3ffa3bc7a3a6d
Publikováno v:
Information, Vol 11, Iss 3, p 158 (2020)
Predicting the categories of actions in partially observed videos is a challenging task in the computer vision field. The temporal progress of an ongoing action is of great importance for action prediction, since actions can present different charact
Externí odkaz:
https://doaj.org/article/0850e9f52d224786aea61fd3143309b1
Publikováno v:
Advances in Multimedia, Vol 2018 (2018)
Recognizing human actions in videos is an active topic with broad commercial potentials. Most of the existing action recognition methods are supposed to have the same camera view during both training and testing. And thus performances of these single
Externí odkaz:
https://doaj.org/article/300db1bd39734961bfc989a5a3c42d7a
Autor:
Xiaolong Wang, Zhengwen Zhang, Xiaomin Zhong, Xiaohao Ji, Xiangbin Shi, Chang Liu, Zhiqiang Wang, Hai bo Wang
[Purpose] Mineral elements are very important to plant growth and development, and the proper supply of mineral elements in soil and the optimum range of mineral elements in plant are necessary to guarantee the optimal yield and quality of fruit tree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ab5bae71d6cb0cf8a484eec623c249
https://doi.org/10.21203/rs.3.rs-2853546/v1
https://doi.org/10.21203/rs.3.rs-2853546/v1
Autor:
Xiaolong Wang, Zhengwen Zhang, Xiaomin Zhong, Xiaohao Ji, Xiangbin Shi, Chang Liu, Yican Zhang, Zhiqiang Wang, Haibo Wang
Publikováno v:
Technology in Horticulture. 3
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Hyperspectral image (HSI) has hundreds of continuous bands that contain a lot of redundant information. Besides, a spatial patch of a hyperspectral cube often contains some pixels different from the center pixel category, which are usually called int