Artigos de revistas sobre o tema "Hyperspectral super-Resolution"
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Sun, Shasha, Wenxing Bao, Kewen Qu, Wei Feng, Xiaowu Zhang e Xuan Ma. "Hyperspectral Image Super-Resolution Algorithm Based on Graph Regular Tensor Ring Decomposition". Remote Sensing 15, n.º 20 (16 de outubro de 2023): 4983. http://dx.doi.org/10.3390/rs15204983.
Texto completo da fonteZhang, Jing, Renjie Zheng, Zekang Wan, Ruijing Geng, Yi Wang, Yu Yang, Xuepeng Zhang e Yunsong Li. "Hyperspectral Image Super-Resolution Based on Feature Diversity Extraction". Remote Sensing 16, n.º 3 (23 de janeiro de 2024): 436. http://dx.doi.org/10.3390/rs16030436.
Texto completo da fonteZhang, Yan, Lifu Zhang, Ruoxi Song e Qingxi Tong. "A General Deep Learning Point–Surface Fusion Framework for RGB Image Super-Resolution". Remote Sensing 16, n.º 1 (28 de dezembro de 2023): 139. http://dx.doi.org/10.3390/rs16010139.
Texto completo da fonteChang, Pai-Chuan, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang e Yangrui Liu. "Optimization-Based Hyperspectral Spatiotemporal Super-Resolution". IEEE Access 10 (2022): 37477–94. http://dx.doi.org/10.1109/access.2022.3163266.
Texto completo da fonteMianji, Fereidoun A., Ye Zhang, Humayun Karim Sulehria, Asad Babakhani e Mohammad Reza Kardan. "Super-Resolution Challenges in Hyperspectral Imagery". Information Technology Journal 7, n.º 7 (15 de setembro de 2008): 1030–36. http://dx.doi.org/10.3923/itj.2008.1030.1036.
Texto completo da fonteAkgun, T., Y. Altunbasak e R. M. Mersereau. "Super-resolution reconstruction of hyperspectral images". IEEE Transactions on Image Processing 14, n.º 11 (novembro de 2005): 1860–75. http://dx.doi.org/10.1109/tip.2005.854479.
Texto completo da fonteBu, Lijing, Dong Dai, Zhengpeng Zhang, Yin Yang e Mingjun Deng. "Hyperspectral Super-Resolution Reconstruction Network Based on Hybrid Convolution and Spectral Symmetry Preservation". Remote Sensing 15, n.º 13 (21 de junho de 2023): 3225. http://dx.doi.org/10.3390/rs15133225.
Texto completo da fonteHe, Zhi, e Lin Liu. "Hyperspectral Image Super-Resolution Inspired by Deep Laplacian Pyramid Network". Remote Sensing 10, n.º 12 (2 de dezembro de 2018): 1939. http://dx.doi.org/10.3390/rs10121939.
Texto completo da fonteCao, Meng, Wenxing Bao e Kewen Qu. "Hyperspectral Super-Resolution Via Joint Regularization of Low-Rank Tensor Decomposition". Remote Sensing 13, n.º 20 (14 de outubro de 2021): 4116. http://dx.doi.org/10.3390/rs13204116.
Texto completo da fonteLi, Xiaoyan, Lefei Zhang e Jane You. "Domain Transfer Learning for Hyperspectral Image Super-Resolution". Remote Sensing 11, n.º 6 (22 de março de 2019): 694. http://dx.doi.org/10.3390/rs11060694.
Texto completo da fonteLi, Jun, Yuanxi Peng, Tian Jiang, Longlong Zhang e Jian Long. "Hyperspectral Image Super-Resolution Based on Spatial Group Sparsity Regularization Unmixing". Applied Sciences 10, n.º 16 (12 de agosto de 2020): 5583. http://dx.doi.org/10.3390/app10165583.
Texto completo da fonteDong, Weisheng, Chen Zhou, Fangfang Wu, Jinjian Wu, Guangming Shi e Xin Li. "Model-Guided Deep Hyperspectral Image Super-Resolution". IEEE Transactions on Image Processing 30 (2021): 5754–68. http://dx.doi.org/10.1109/tip.2021.3078058.
Texto completo da fonteLanaras, Charis, Emmanuel Baltsavias e Konrad Schindler. "Hyperspectral Super-Resolution with Spectral Unmixing Constraints". Remote Sensing 9, n.º 11 (21 de novembro de 2017): 1196. http://dx.doi.org/10.3390/rs9111196.
Texto completo da fonteXue Song, 薛松, 张思雨 Zhang Siyu e 刘永峰 Liu Yongfeng. "Quality Assessment of Hyperspectral Super-Resolution Images". Laser & Optoelectronics Progress 56, n.º 4 (2019): 041001. http://dx.doi.org/10.3788/lop56.041001.
Texto completo da fonteArun, P. V., Krishna Mohan Buddhiraju, Alok Porwal e Jocelyn Chanussot. "CNN-Based Super-Resolution of Hyperspectral Images". IEEE Transactions on Geoscience and Remote Sensing 58, n.º 9 (setembro de 2020): 6106–21. http://dx.doi.org/10.1109/tgrs.2020.2973370.
Texto completo da fonteHu, Jing, Xiuping Jia, Yunsong Li, Gang He e Minghua Zhao. "Hyperspectral Image Super-Resolution via Intrafusion Network". IEEE Transactions on Geoscience and Remote Sensing 58, n.º 10 (outubro de 2020): 7459–71. http://dx.doi.org/10.1109/tgrs.2020.2982940.
Texto completo da fonteHan, Xian-Hua, Yongqing Sun, Jian Wang, Boxin Shi, Yinqiang Zheng e Yen-Wei Chen. "Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution". Sensors 19, n.º 24 (7 de dezembro de 2019): 5401. http://dx.doi.org/10.3390/s19245401.
Texto completo da fonteGao, Dongsheng, Zhentao Hu e Renzhen Ye. "Self-Dictionary Regression for Hyperspectral Image Super-Resolution". Remote Sensing 10, n.º 10 (1 de outubro de 2018): 1574. http://dx.doi.org/10.3390/rs10101574.
Texto completo da fonteZhang, Xizhen, Aiwu Zhang, Mengnan Li, Lulu Liu e Xiaoyan Kang. "Restoration and Calibration of Tilting Hyperspectral Super-Resolution Image". Sensors 20, n.º 16 (15 de agosto de 2020): 4589. http://dx.doi.org/10.3390/s20164589.
Texto completo da fonteZhang, Chi, Mingjin Zhang, Yunsong Li, Xinbo Gao e Shi Qiu. "Difference Curvature Multidimensional Network for Hyperspectral Image Super-Resolution". Remote Sensing 13, n.º 17 (31 de agosto de 2021): 3455. http://dx.doi.org/10.3390/rs13173455.
Texto completo da fonteSahithi, V. S., e S. Agrawal. "Sub pixel location identification using super resolved multilooking CHRIS data". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (28 de novembro de 2014): 463–68. http://dx.doi.org/10.5194/isprsarchives-xl-8-463-2014.
Texto completo da fonteLi, Qiang, Qi Wang e Xuelong Li. "Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution". Remote Sensing 12, n.º 10 (21 de maio de 2020): 1660. http://dx.doi.org/10.3390/rs12101660.
Texto completo da fonteLiu, Ziqian, Wenbing Wang, Qing Ma, Xianming Liu e Junjun Jiang. "Rethinking 3D-CNN in Hyperspectral Image Super-Resolution". Remote Sensing 15, n.º 10 (15 de maio de 2023): 2574. http://dx.doi.org/10.3390/rs15102574.
Texto completo da fonteZhao, Minghua, Jiawei Ning, Jing Hu e Tingting Li. "Hyperspectral Image Super-Resolution under the Guidance of Deep Gradient Information". Remote Sensing 13, n.º 12 (18 de junho de 2021): 2382. http://dx.doi.org/10.3390/rs13122382.
Texto completo da fonteTang, Zhenjie, Qing Xu, Pengfei Wu, Zhenwei Shi e Bin Pan. "Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery". Remote Sensing 14, n.º 8 (18 de abril de 2022): 1944. http://dx.doi.org/10.3390/rs14081944.
Texto completo da fonteZheng, Ke, Lianru Gao, Danfeng Hong, Bing Zhang e Jocelyn Chanussot. "NonRegSRNet: A Nonrigid Registration Hyperspectral Super-Resolution Network". IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1–16. http://dx.doi.org/10.1109/tgrs.2021.3135501.
Texto completo da fonteHe, Wei, Yong Chen, Naoto Yokoya, Chao Li e Qibin Zhao. "Hyperspectral super-resolution via coupled tensor ring factorization". Pattern Recognition 122 (fevereiro de 2022): 108280. http://dx.doi.org/10.1016/j.patcog.2021.108280.
Texto completo da fonteWei, Wei, Jiangtao Nie, Yong Li, Lei Zhang e Yanning Zhang. "Deep Recursive Network for Hyperspectral Image Super-Resolution". IEEE Transactions on Computational Imaging 6 (2020): 1233–44. http://dx.doi.org/10.1109/tci.2020.3014451.
Texto completo da fonteJia, Jinrang, Luyan Ji, Yongchao Zhao e Xiurui Geng. "Hyperspectral image super-resolution with spectral–spatial network". International Journal of Remote Sensing 39, n.º 22 (19 de junho de 2018): 7806–29. http://dx.doi.org/10.1080/01431161.2018.1471546.
Texto completo da fonteKanatsoulis, Charilaos I., Xiao Fu, Nicholas D. Sidiropoulos e Wing-Kin Ma. "Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach". IEEE Transactions on Signal Processing 66, n.º 24 (15 de dezembro de 2018): 6503–17. http://dx.doi.org/10.1109/tsp.2018.2876362.
Texto completo da fonteZhang, Hongyan, Liangpei Zhang e Huanfeng Shen. "A super-resolution reconstruction algorithm for hyperspectral images". Signal Processing 92, n.º 9 (setembro de 2012): 2082–96. http://dx.doi.org/10.1016/j.sigpro.2012.01.020.
Texto completo da fonteJiangtao, Nie, Zhang Lei, Wei Wei, Yan Qingsen, Ding Chen, Chen Guochao e Zhang Yanning. "A survey of hyperspectral image super-resolution method". Journal of Image and Graphics 28, n.º 6 (2023): 1685–97. http://dx.doi.org/10.11834/jig.230038.
Texto completo da fonteAiello, Emanuele, Mirko Agarla, Diego Valsesia, Paolo Napoletano, Tiziano Bianchi, Enrico Magli e Raimondo Schettini. "Synthetic Data Pretraining for Hyperspectral Image Super-Resolution". IEEE Access 12 (2024): 65024–31. http://dx.doi.org/10.1109/access.2024.3396990.
Texto completo da fonteSu, Haonan, Haiyan Jin e Ce Sun. "Deep Pansharpening via 3D Spectral Super-Resolution Network and Discrepancy-Based Gradient Transfer". Remote Sensing 14, n.º 17 (29 de agosto de 2022): 4250. http://dx.doi.org/10.3390/rs14174250.
Texto completo da fonteLiu, Hongyi, Wen Jiang, Yuchen Zha e Zhihui Wei. "Coupled Tensor Block Term Decomposition with Superpixel-Based Graph Laplacian Regularization for Hyperspectral Super-Resolution". Remote Sensing 14, n.º 18 (9 de setembro de 2022): 4520. http://dx.doi.org/10.3390/rs14184520.
Texto completo da fonteWang, Sai, e Fenglei Fan. "Thangka Hyperspectral Image Super-Resolution Based on a Spatial–Spectral Integration Network". Remote Sensing 15, n.º 14 (19 de julho de 2023): 3603. http://dx.doi.org/10.3390/rs15143603.
Texto completo da fonteUrbina Ortega, Carlos, Eduardo Quevedo Gutiérrez, Laura Quintana, Samuel Ortega, Himar Fabelo, Lucana Santos Falcón e Gustavo Marrero Callico. "Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples". Sensors 23, n.º 4 (7 de fevereiro de 2023): 1863. http://dx.doi.org/10.3390/s23041863.
Texto completo da fonteZhang, Xiangrong, Zitong Liu, Xianhao Zhang e Tianzhu Liu. "A Multi-Hyperspectral Image Collaborative Mapping Model Based on Adaptive Learning for Fine Classification". Remote Sensing 16, n.º 8 (14 de abril de 2024): 1384. http://dx.doi.org/10.3390/rs16081384.
Texto completo da fonteShi, Songyue, Xiaoxia Gong, Yan Mu, Kevin Finch e Gerardo Gamez. "Geometric super-resolution on push-broom hyperspectral imaging for plasma optical emission spectroscopy". Journal of Analytical Atomic Spectrometry 33, n.º 10 (2018): 1745–52. http://dx.doi.org/10.1039/c8ja00235e.
Texto completo da fonteYao, Yunze, Jianwen Hu, Yaoting Liu e Yushan Zhao. "Spectral-Spatial MLP Network for Hyperspectral Image Super-Resolution". Remote Sensing 15, n.º 12 (12 de junho de 2023): 3066. http://dx.doi.org/10.3390/rs15123066.
Texto completo da fonteLi, Jiaojiao, Ruxing Cui, Bo Li, Rui Song, Yunsong Li e Qian Du. "Hyperspectral Image Super-Resolution with 1D–2D Attentional Convolutional Neural Network". Remote Sensing 11, n.º 23 (1 de dezembro de 2019): 2859. http://dx.doi.org/10.3390/rs11232859.
Texto completo da fonteCHEN, GUANGYI, SHEN-EN QIAN, JEAN-PIERRE ARDOUIN e WENFANG XIE. "SUPER-RESOLUTION OF HYPERSPECTRAL IMAGERY USING COMPLEX RIDGELET TRANSFORM". International Journal of Wavelets, Multiresolution and Information Processing 10, n.º 03 (maio de 2012): 1250025. http://dx.doi.org/10.1142/s0219691312500257.
Texto completo da fonteKim, Byunghyun, e Soojin Cho. "Hyperspectral Super-Resolution Technique Using Histogram Matching and Endmember Optimization". Applied Sciences 9, n.º 20 (19 de outubro de 2019): 4444. http://dx.doi.org/10.3390/app9204444.
Texto completo da fonteMarquez Castellanos, Miguel Angel, Cesar Augusto Vargas e Henry Arguello. "Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging". Ingeniería e Investigación 36, n.º 3 (19 de dezembro de 2016): 117. http://dx.doi.org/10.15446/ing.investig.v36n3.54267.
Texto completo da fonteLiu, Zhe, Yinqiang Zheng e Xian-Hua Han. "Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution". Sensors 21, n.º 7 (28 de março de 2021): 2348. http://dx.doi.org/10.3390/s21072348.
Texto completo da fonteLi, Xuesong, Youqiang Zhang, Zixian Ge, Guo Cao, Hao Shi e Peng Fu. "Adaptive Nonnegative Sparse Representation for Hyperspectral Image Super-Resolution". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 4267–83. http://dx.doi.org/10.1109/jstars.2021.3072044.
Texto completo da fonteZhang, Shaolei, Guangyuan Fu, Hongqiao Wang e Yuqing Zhao. "Spectral recovery‐guided hyperspectral super‐resolution using transfer learning". IET Image Processing 15, n.º 11 (20 de maio de 2021): 2656–65. http://dx.doi.org/10.1049/ipr2.12253.
Texto completo da fonteLu, Xiaochen, Xiaohui Liu, Lei Zhang, Fengde Jia e Yunlong Yang. "Hyperspectral image super-resolution based on attention ConvBiLSTM network". International Journal of Remote Sensing 43, n.º 13 (3 de julho de 2022): 5059–74. http://dx.doi.org/10.1080/01431161.2022.2128701.
Texto completo da fontePan, Bin, Qiaoying Qu, Xia Xu e Zhenwei Shi. "Structure–Color Preserving Network for Hyperspectral Image Super-Resolution". IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1–12. http://dx.doi.org/10.1109/tgrs.2021.3135028.
Texto completo da fonteLi, Qiang, Yuan Yuan e Qi Wang. "Hyperspectral image super-resolution via multi-domain feature learning". Neurocomputing 472 (fevereiro de 2022): 85–94. http://dx.doi.org/10.1016/j.neucom.2021.10.041.
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