Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Ding, Yun; Li, Chao; Luo, Fulin; Zheng, Chunhou (2025) Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3573046

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleHyperspectral Image Classification Based on Subgraph-Dependent Neural Network
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsDing, YunAuthor
Li, ChaoAuthor
Luo, FulinAuthor
Zheng, ChunhouAuthor
Year2025Volume63
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2025.3573046Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID18508725Long-form Identifiermindat:1:5:18508725:8
GUID0
Full ReferenceDing, Yun; Li, Chao; Luo, Fulin; Zheng, Chunhou (2025) Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3573046
Plain TextDing, Yun; Li, Chao; Luo, Fulin; Zheng, Chunhou (2025) Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3573046
In(2025) IEEE Transactions on Geoscience and Remote Sensing Vol. 63. Institute of Electrical and Electronics Engineers (IEEE)

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Wang, Bingqian, Chen, Jianhua, Wang, Huajun, Tang, Yipeng, Chen, Jiongling, Jiang, Ye (2024) A spectral and spatial transformer for hyperspectral remote sensing image super-resolution. International Journal of Digital Earth, 17 (1) doi:10.1080/17538947.2024.2313102
Not Yet Imported: - journal-article : 10.1109/TPAMI.2024.3362475

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Zhang, Jingang, Su, Runmu, Fu, Qiang, Ren, Wenqi, Heide, Felix, Nie, Yunfeng (2022) A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging. Scientific Reports, 12 (1) doi:10.1038/s41598-022-16223-1
Not Yet Imported: International Journal of Applied Earth Observation and Geoinformation - journal-article : 10.1016/j.jag.2023.103597

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
()
Jiang, Chongya, Guan, Kaiyu, Huang, Yizhi, Jong, Maxwell (2024) A vehicle imaging approach to acquire ground truth data for upscaling to satellite data: A case study for estimating harvesting dates. Remote Sensing of Environment, 300. 113894 doi:10.1016/j.rse.2023.113894
Not Yet Imported: - journal-article : 10.1016/j.jag.2022.102926

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Lv, Zhuwang, Dong, Xue-Mei, Peng, Jiangtao, Sun, Weiwei (2022) ESSINet: Efficient Spatial–Spectral Interaction Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-15 doi:10.1109/tgrs.2022.3162721
Liu, Bing, Yu, Xuchu, Yu, Anzhu, Zhang, Pengqiang, Wan, Gang, Wang, Ruirui (2019) Deep Few-Shot Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 57 (4) 2290-2304 doi:10.1109/tgrs.2018.2872830
Zhang, Hongyan, Zou, Jiaqi, Zhang, Liangpei (2022) EMS-GCN: An End-to-End Mixhop Superpixel-Based Graph Convolutional Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-16 doi:10.1109/tgrs.2022.3163326
Not Yet Imported: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management - proceedings-article : 10.1145/3583780.3615227

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
()
Not Yet Imported: - journal-article : 10.38094/jastt1224

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Zhang (2019) arXiv:1903.09834 1D-convolutional capsule network for hyperspectral image classification
Not Yet Imported: Infrared Physics & Technology - journal-article : 10.1016/j.infrared.2024.105208

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Chen, Yushi, Jiang, Hanlu, Li, Chunyang, Jia, Xiuping, Ghamisi, Pedram (2016) Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 54 (10) 6232-6251 doi:10.1109/tgrs.2016.2584107
Ahmad, Muhammad, Ghous, Usman, Hong, Danfeng, Khan, Adil Mehmood, Yao, Jing, Wang, Shaohua, Chanussot, Jocelyn (2022) A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-16 doi:10.1109/tgrs.2022.3209182
Mei, Shaohui, Ji, Jingyu, Geng, Yunhao, Zhang, Zhi, Li, Xu, Du, Qian (2019) Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification. IEEE Transactions on Geoscience and Remote Sensing, 57 (9) 6808-6820 doi:10.1109/tgrs.2019.2908756
Not Yet Imported: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - journal-article : 10.1109/JSTARS.2023.3328389

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.3390/rs14092215

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Roy, Swalpa Kumar, Deria, Ankur, Shah, Chiranjibi, Haut, Juan M., Du, Qian, Plaza, Antonio (2023) Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3242346
Jiang, Mengying, Su, Yuanchao, Gao, Lianru, Plaza, Antonio, Zhao, Xi-Le, Sun, Xu, Liu, Guizhong (2024) GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-16 doi:10.1109/tgrs.2023.3349076
Yang, Aitao, Li, Min, Ding, Yao, Hong, Danfeng, Lv, Yilong, He, Yujie (2023) GTFN: GCN and Transformer Fusion Network With Spatial-Spectral Features for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3314616
Xue, Zhaohui, Liu, Zhiwei, Zhang, Mengxue (2023) DSR-GCN: Differentiated-Scale Restricted Graph Convolutional Network for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-18 doi:10.1109/tgrs.2023.3253248
Qin, Anyong, Shang, Zhaowei, Tian, Jinyu, Wang, Yulong, Zhang, Taiping, Tang, Yuan Yan (2019) Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 16 (2) 241-245 doi:10.1109/lgrs.2018.2869563
Not Yet Imported: Engineering Applications of Artificial Intelligence - journal-article : 10.1016/j.engappai.2023.107280

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TIM.2021.3056750

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TNNLS.2021.3112268

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1016/j.neunet.2024.106207

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TNNLS.2022.3232532

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Hong, Danfeng, Gao, Lianru, Yao, Jing, Zhang, Bing, Plaza, Antonio, Chanussot, Jocelyn (2021) Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 59 (7) 5966-5978 doi:10.1109/tgrs.2020.3015157
Not Yet Imported: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - proceedings-article : 10.1145/3292500.3330925

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
()
Xu, Fulin, Mei, Shaohui, Zhang, Ge, Wang, Nan, Du, Qian (2024) Bridging CNN and Transformer With Cross-Attention Fusion Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-14 doi:10.1109/tgrs.2024.3419266
Gao, Hongmin, Sheng, Runhua, Chen, Zhonghao, Liu, Haiyun, Xu, Shufang, Zhang, Bing (2024) Multiscale Random-Shape Convolution and Adaptive Graph Convolution Fusion Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-17 doi:10.1109/tgrs.2024.3390928
()
Feng, Hao, Wang, Yongcheng, Chen, Chi, Xu, Dongdong, Zhao, Zhikang, Zhao, Tianqi (2024) Hyperspectral Image Classification Framework Based on Multichannel Graph Convolutional Networks and Class-Guided Attention Mechanism. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-15 doi:10.1109/tgrs.2024.3388429
Liu, Xuan, Liu, Suchen, Chen, Wangyou, Qu, Shenming (2024) HDECGCN: A Heterogeneous Dual Enhanced Network Based on Hybrid CNNs Joint Multiscale Dynamic GCNs for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-17 doi:10.1109/tgrs.2024.3387420
Karypis, George, Kumar, Vipin (1998) A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs. SIAM Journal on Scientific Computing, 20. 359-392 doi:10.1137/s1064827595287997
Soffer, Sara Nadiv, Vázquez, Alexei (2005) Network clustering coefficient without degree-correlation biases. Physical Review E, 71 (5) doi:10.1103/physreve.71.057101
Not Yet Imported: Artificial Intelligence Review - journal-article : 10.1007/s10462-022-10325-y

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence - proceedings-article : 10.24963/ijcai.2019/601

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Proceedings of the AAAI Conference on Artificial Intelligence - journal-article : 10.1609/aaai.v32i1.11604

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1145/3511808.3557419

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Wang, Di, Du, Bo, Zhang, Liangpei, Xu, Yonghao (2021) Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 59 (3) 2461-2477 doi:10.1109/tgrs.2020.2999957
Not Yet Imported: 2017 IEEE International Conference on Image Processing (ICIP) - proceedings-article : 10.1109/ICIP.2017.8297014

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Guo, Tan, Wang, Ruizhi, Luo, Fulin, Gong, Xiuwen, Zhang, Lei, Gao, Xinbo (2023) Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-13 doi:10.1109/tgrs.2023.3277467
Paoletti, Mercedes E., Haut, Juan Mario, Fernandez-Beltran, Ruben, Plaza, Javier, Plaza, Antonio J., Pla, Filiberto (2019) Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 57 (2) 740-754 doi:10.1109/tgrs.2018.2860125
Kipf () Proc. Int. Conf. Learn. Represent. (ICLR) Semi-supervised classification with graph convolutional networks , 1
Ding, Yun, Pan, Shaoming, Chong, Yanwen (2020) Robust Spatial–Spectral Block-Diagonal Structure Representation With Fuzzy Class Probability for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 58 (3) 1747-1762 doi:10.1109/tgrs.2019.2948361

See Also

These are possibly similar items as determined by title/reference text matching only.

Ding, Yun, Chong, Yanwen, Pan, Shaoming, Zheng, Chunhou (2023) Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-18 doi:10.1109/tgrs.2023.3298848
Liu, Shuang, Fu, Chuan, Duan, Yule, Wang, Xiaopan, Luo, Fulin (2025) Spatial–Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3523578
Zhang, Huarun; Xu, Xiang; Li, Shutao; Plaza, Antonio (2025) Wavelet Decomposition-Based Spectral–Spatial Mamba Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3590154
Zhu, Qiqi, Zhang, Meilin, Chen, Yuling, Zheng, Guizhou, Luo, Jiancheng (2025) Spectral Correlation-Based Fusion Network for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3423422
Li, Kefan, Wan, Yuting, Ma, Ailong, Zhong, Yanfei (2025) A Lightweight Multiscale and Multiattention Hyperspectral Image Classification Network Based on Multistage Search. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3553147
Li, Yizhen, Chong, Yanwen, Pan, Shaoming, Ding, Yun (2023) First-Order Smoothing-Based Deep Graph Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-16 doi:10.1109/tgrs.2023.3250715
Feng, Shou; Zhao, Zicheng; Xi, Bobo; Zhao, Chunhui; Li, Wei; Tao, Ran; Li, Yunsong (2025) DSNet: Dynamic Stitchable Neural Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3589364
Zhu, Yimin; Xu, Linlin (2025) Spatial–Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3586287
Wang, Sirui; Braham, Nassim Ait Ali; Zhu, Xiao Xiang (2025) Weak–Strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3562261
Feng, Shou; Zheng, Shuang; Xu, Congan; Zhao, Chunhui; Li, Wei; Tao, Ran (2025) A Nonlinear Weighted Graph Convolution Network Based on Manifold Geometric Regularization for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3584561
Zhou, Weilian, Kamata, Sei-ichiro, Luo, Zhengbo, Wang, Haipeng (2022) Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-18 doi:10.1109/tgrs.2021.3138742
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 22, 2025 19:15:42
Go to top of page