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2020 – today
- 2024
[j45]Huapeng Wu
, Mengxue Yuan, Tianming Zhan:
A hybrid U-shaped and transformer network for change detection in high-resolution remote sensing images. IET Image Process. 18(5): 1373-1384 (2024)- [j44]Huapeng Wu, Hui Xu, Tianming Zhan:
A novel spatial and spectral transformer network for hyperspectral image super-resolution. Multim. Syst. 30(3): 165 (2024) - [j43]Huapeng Wu, Chenyun Wang, Chenyang Lu, Tianming Zhan:
HCT: a hybrid CNN and transformer network for hyperspectral image super-resolution. Multim. Syst. 30(4): 185 (2024) - [j42]Sheng Xu, Lin Song, Junru Yin, Qiqiang Chen, Tianming Zhan, Wei Huang:
MFFCI-YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19743-19755 (2024) - [j41]Bo Song, Zebin Wu, Yang Xu, Xinyuan Xia, Yu Xie, Tianming Zhan, Zhihui Wei:
3DCNN-NF: Few-Shot Hyperspectral Image Change Detection Based on 3-D Convolution Neural Network and Normalizing Flow. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c11]Hang Zhang, Tianming Zhan, Le Sun:
Spectral-Spatial Dual-Branch Cross-Enhanced Transformer for Hyperspectral Image Classification. IGARSS 2024: 8975-8978 - 2023
- [j40]Minghua Wan, Chengxu Yan, Tianming Zhan, Hai Tan, Guowei Yang:
Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction. Int. J. Mach. Learn. Cybern. 14(6): 2155-2168 (2023) - [j39]Minghua Wan, Xueyu Chen, Tianming Zhan, Guowei Yang, Hai Tan, Hao Zheng:
Low-rank 2D local discriminant graph embedding for robust image feature extraction. Pattern Recognit. 133: 109034 (2023) - 2022
- [j38]Minghua Wan, Xueyu Chen, Cairong Zhao, Tianming Zhan, Guowei Yang:
A new weakly supervised discrete discriminant hashing for robust data representation. Inf. Sci. 611: 335-348 (2022) - [j37]Bo Song, Yongsheng Tang, Tianming Zhan, Zebin Wu:
BRCN-ERN: A Bidirectional Reconstruction Coding Network and Enhanced Residual Network for Hyperspectral Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j36]Le Sun, Feiyang Wu, Chengxun He, Tianming Zhan, Wei Liu, Daopan Zhang:
Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j35]Hongmei Ge, Yongsheng Tang, Zuolin Bi, Tianming Zhan, Yang Xu, Aibo Song:
MMSRC: A Multidirection Multiscale Spectral-Spatial Residual Network for Hyperspectral Multiclass Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9254-9265 (2022) - [j34]Minghua Wan, Yu Yao, Tianming Zhan, Guowei Yang:
Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1917-1927 (2022) - [j33]Biqi Wang, Yang Xu, Zebin Wu, Tianming Zhan, Zhihui Wei:
Spatial-Spectral Local Domain Adaption for Cross Domain Few Shot Hyperspectral Images Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j32]Tianming Zhan, Zuolin Bi, Huapeng Wu, Chao Xu, Qian Du, Yang Xu, Zebin Wu:
A Novel Cross-Scale Octave Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j31]Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang:
Sparse Graph Embedding Based on the Fuzzy Set for Image Classification. Complex. 2021: 6638985:1-6638985:10 (2021) - [j30]Minghua Wan, Xueyu Chen, Tianming Zhan, Chao Xu, Guowei Yang, Huiting Zhou:
Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction. Inf. Sci. 563: 1-15 (2021) - [j29]Tianming Zhan, Bo Song, Yang Xu, Minghua Wan, Xin Wang, Guowei Yang, Zebin Wu:
SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection. Remote. Sens. 13(5): 895 (2021) - [j28]Tianming Zhan, Bo Song, Le Sun, Xiuping Jia, Minghua Wan, Guowei Yang, Zebin Wu:
TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 377-388 (2021) - [j27]Tianming Zhan, Yanwen Sun, Yongsheng Tang, Yang Xu, Zebin Wu:
Tensor Regression and Image Fusion-Based Change Detection Using Hyperspectral and Multispectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9794-9802 (2021) - [j26]Xiao Chen, Jie Ding, Zhenyu Lu, Tianming Zhan:
An Efficient Formal Modeling Framework for Hybrid Cloud-Fog Systems. IEEE Trans. Netw. Sci. Eng. 8(1): 447-462 (2021) - [c10]Jingfa Zhang, Yang Xu, Tianming Zhan, Zebin Wu, Zhihui Wei:
Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder. IGARSS 2021: 2512-2515 - 2020
- [j25]Guowei Yang, Shaohua Qi, Teng Yu, Minghua Wan, Zhangjing Yang, Tianming Zhan, Fanlong Zhang, Zhihui Lai:
SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions. IEEE Access 8: 47914-47924 (2020) - [j24]Tianming Zhan, Zhenyu Lu, Minghua Wan, Guowei Yang:
Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(9): 1642-1646 (2020) - [j23]Zhenyu Lu, Yanzhong Bai, Yi Chen, Chunqiu Su, Shanshan Lu, Tianming Zhan, Xunning Hong, Shuihua Wang:
The classification of gliomas based on a Pyramid dilated convolution resnet model. Pattern Recognit. Lett. 133: 173-179 (2020) - [j22]Le Sun, Feiyang Wu, Tianming Zhan, Wei Liu, Jin Wang, Byeungwoo Jeon:
Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1174-1188 (2020) - [j21]Zhenyu Lu, Bin Xu, Le Sun, Tianming Zhan, Songze Tang:
3-D Channel and Spatial Attention Based Multiscale Spatial-Spectral Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4311-4324 (2020) - [c9]Fanlong Zhang, Heyou Chang, Zhangjing Yang, Tianming Zhan, Guowei Yang:
Hyperspectral Image Restoration for Non-additive Noise. PRCV (1) 2020: 232-243
2010 – 2019
- 2019
- [j20]Tianming Zhan, Minghua Wan, Le Sun, Yang Xu, Guowei Yang, Zhenyu Lu, Zebin Wu:
Robust Regression-Based Markov Random Field for Hyperspectral Image Classification. IEEE Access 7: 11868-11881 (2019) - [j19]Minghua Wan, Hao Zheng, Guowei Yang, Tianming Zhan, Wei Huang:
Tri-Direction 2D-Fisher Discriminant Analysis (T2D-FDA) for Feature Extraction. IEEE Access 7: 114714-114720 (2019) - [j18]Xiao Chen, Nigel Thomas, Tianming Zhan, Jie Ding:
A Hybrid Task Scheduling Scheme for Heterogeneous Vehicular Edge Systems. IEEE Access 7: 117088-117099 (2019) - [j17]Ting Ge, Ning Mu, Tianming Zhan, Zhi Chen, Wanrong Gao, Shanxiang Mu:
Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation. Comput. Intell. Neurosci. 2019: 9378014:1-9378014:11 (2019) - [j16]Zhenyu Lu, Bingjian Lu, Hengde Zhang, You Fu, Yunan Qiu, Tianming Zhan:
A method of visibility forecast based on hierarchical sparse representation. J. Vis. Commun. Image Represent. 58: 160-165 (2019) - [j15]Zhenyu Lu, Yunan Qiu, Tianming Zhan:
Neutrosophic C-means clustering with local information and noise distance-based kernel metric image segmentation. J. Vis. Commun. Image Represent. 58: 269-276 (2019) - [j14]Zhangjing Yang, Pu Huang, Minghua Wan, Tianming Zhan, Fanlong Zhang, Limin Luo:
Discriminant maximum margin projections for face recognition. Multim. Tools Appl. 78(17): 23847-23865 (2019) - [j13]Shenghua Gu, Yi Chen, Fangqing Sheng, Tianming Zhan, Yunjie Chen:
A novel method for breast mass segmentation: from superpixel to subpixel segmentation. Mach. Vis. Appl. 30(7-8): 1111-1122 (2019) - [c8]Zhenyu Lu, Jia Lu, Quanbo Ge, Tianming Zhan:
Multi-object Detection Method based on YOLO and ResNet Hybrid Networks. ICARM 2019: 827-832 - [c7]Peng Wang, Quanbo Ge, Zhenyu Lu, Tianming Zhan:
Dog Face Recognition Algorithm Based on DC-Attention-SSD Neural Network. ICARM 2019: 833-838 - [c6]Yixuan Wang, Shangdong Zheng, Wei Xu, Yang Xu, Tianming Zhan, Peng Zheng, Zhihui Wei, Zebin Wu:
A Stackable Attention-Guided Multi-scale CNN for Number Plate Detection. ICIG (1) 2019: 199-209 - [c5]Le Sun, Fei Yan, Tianming Zhan:
Hyperspectral Classification Via Low-Rank Component Induced Spatial-Spectral Kernel. IGARSS 2019: 3005-3008 - 2018
- [j12]Tianming Zhan, Fangqing Shen, Xunning Hong, Xihu Wang, Yunjie Chen, Zhenyu Lu, Guowei Yang:
A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints. IEEE Access 6: 57113-57122 (2018) - [j11]Le Sun, Tianming Zhan, Zebin Wu, Byeungwoo Jeon:
A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising. ISPRS Int. J. Geo Inf. 7(10): 412 (2018) - [j10]Zhangjing Yang, Minghua Wan, Tianming Zhan, Zhihui Lai, Limin Luo, Pu Huang, Jincheng Zhang:
Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition. Multim. Tools Appl. 77(3): 3795-3811 (2018) - [j9]Yudong Zhang, Guihu Zhao, Junding Sun, Xiaosheng Wu, Zhiheng Wang, Hongmin Liu, Vishnuvarthanan Govindaraj, Tianming Zhan, Jianwu Li:
Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm. Multim. Tools Appl. 77(17): 22629-22648 (2018) - [j8]Tianming Zhan, Le Sun, Yang Xu, Guowei Yang, Yan Zhang, Zebin Wu:
Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation. Remote. Sens. 10(10): 1639 (2018) - [j7]Le Sun, Tianming Zhan, Zebin Wu, Liang Xiao, Byeungwoo Jeon:
Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation. Remote. Sens. 10(12): 1956 (2018) - [c4]Zhenyu Lu, Yunan Qiu, Tianming Zhan:
Neutrosophic C-means Clustering with Local Information and Noise Distance-Based Kernel Metric Image Segmentation. PCM (1) 2018: 168-178 - 2017
- [j6]Tianming Zhan, Renping Yu, Yu Zheng, Yongzhao Zhan, Liang Xiao, Zhihui Wei:
Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images. Biomed. Signal Process. Control. 31: 52-62 (2017) - [j5]Xiaojun Chen, Jia Ke, Tianming Zhan, Wen-Xin Wang, Yongzhao Zhan, Xiaobo Chen, Xin-Ping Song:
A cloud computing architecture for characterization and classification of moving object. Multim. Tools Appl. 76(16): 17319-17336 (2017) - 2016
- [j4]Yudong Zhang, Xian-Qing Chen, Tianming Zhan, Zhu-Qing Jiao, Yi Sun, Zhi-Min Chen, Yu Yao, Lan-Ting Fang, Yi-Ding Lv, Shuihua Wang:
Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method. IEEE Access 4: 5937-5947 (2016) - [j3]Shuihua Wang, Tianming Zhan, Yi Chen, Yin Zhang, Ming Yang, Huimin Lu, Hainan Wang, Bin Liu, Preetha Phillips:
Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression. IEEE Access 4: 7567-7576 (2016) - [j2]Yang Xu, Zebin Wu, Fu Xiao, Tianming Zhan, Zhihui Wei:
A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 13(8): 1129-1133 (2016) - [c3]Songze Tang, Haitao Guo, Nan Zhou, Lili Huang, Tianming Zhan:
Coupled dictionary learning on common feature space for medical image super resolution. ICIP 2016: 574-578 - 2015
- [j1]Tianming Zhan, Yongzhao Zhan, Zhe Liu, Liang Xiao, Zhihui Wei:
Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images. IET Comput. Vis. 9(4): 447-455 (2015) - [c2]Tianming Zhan, Yang Xu, Le Sun, Zebin Wu, Yongzhao Zhan:
Hyperspectral image classification using multilayer superpixel graph and loopy belief propagation. IGARSS 2015: 1690-1693 - 2012
- [c1]Tianming Zhan, Zhihui Wei, Liang Xiao, Ling Qian:
A parametric statistic model and fast algorithm for brain MR image segmentation and bias correction. Medical Imaging: Image Processing 2012: 83142I
Coauthor Index
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