Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shuguo Jiang"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::871af839677834f9b2f3c8fbddc32108
https://doi.org/10.1109/tgrs.2023.3275146
https://doi.org/10.1109/tgrs.2023.3275146
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::483774866a19415836ed740a9e7c1da2
https://doi.org/10.1109/tgrs.2023.3263511
https://doi.org/10.1109/tgrs.2023.3263511
Autor:
Sen Jia, Weiwei Sun, Xiuping Jia, Jiasong Zhu, Qiang Huang, Meng Xu, Shuguo Jiang, Zhijie Lin
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
With the development of hyperspectral imaging technology, hyperspectral images (HSIs) have become important when analyzing the class of ground objects. In recent years, benefiting from the massive labeled data, deep learning has achieved a series of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90282a58f7f902c74d4e3eb339ee47fe
https://doi.org/10.1109/tgrs.2021.3116138
https://doi.org/10.1109/tgrs.2021.3116138
Publikováno v:
Neurocomputing. 448:179-204
With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classification. In general, deep learning models often contain many trainable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb687649484a6f0629212dd20e6e0e7f
https://doi.org/10.1016/j.neucom.2021.03.035
https://doi.org/10.1016/j.neucom.2021.03.035
Publikováno v:
IEEE transactions on neural networks and learning systems.
With the development of hyperspectral sensors, accessible hyperspectral images (HSIs) are increasing, and pixel-oriented classification has attracted much attention. Recently, graph convolutional networks (GCNs) have been proposed to process graph-st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293c8058cc05e26aeb224f531047cfbb
https://pubmed.ncbi.nlm.nih.gov/35724277
https://pubmed.ncbi.nlm.nih.gov/35724277
Autor:
Shuguo Jiang, Sen Jia
Publikováno v:
2021 10th International Conference on Computing and Pattern Recognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1afafc5f2aa714443ccf80cab2367114
https://doi.org/10.1145/3497623.3497646
https://doi.org/10.1145/3497623.3497646