Tianming Zhan

According to our database, Tianming Zhan authored at least 55 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

HCT: a hybrid CNN and transformer network for hyperspectral image super-resolution.

Huapeng Wu, Chenyun Wang, Chenyang Lu, Tianming Zhan

Multim. Syst., August, 2024

A novel spatial and spectral transformer network for hyperspectral image super-resolution.

Huapeng Wu, Hui Xu, Tianming Zhan

Multim. Syst., June, 2024

3DCNN-NF: Few-Shot Hyperspectral Image Change Detection Based on 3-D Convolution Neural Network and Normalizing Flow.

Bo Song, Zebin Wu, Yang Xu, Xinyuan Xia, Yu Xie, Tianming Zhan, Zhihui Wei

IEEE Trans. Geosci. Remote. Sens., 2024

MFFCI-YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information.

Sheng Xu, Lin Song, Junru Yin, Qiqiang Chen, Tianming Zhan, Wei Huang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A hybrid U-shaped and transformer network for change detection in high-resolution remote sensing images.

Huapeng Wu, Mengxue Yuan, Tianming Zhan

IET Image Process., 2024

Spectral-Spatial Dual-Branch Cross-Enhanced Transformer for Hyperspectral Image Classification.

Hang Zhang, Tianming Zhan, Le Sun

Proceedings of the IGARSS 2024, 2024

2023

Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction.

Minghua Wan, Chengxu Yan, Tianming Zhan, Hai Tan, Guowei Yang

Int. J. Mach. Learn. Cybern., June, 2023

Low-rank 2D local discriminant graph embedding for robust image feature extraction.

Minghua Wan, Xueyu Chen, Tianming Zhan, Guowei Yang, Hai Tan, Hao Zheng

Pattern Recognit., 2023

2022

A Novel Cross-Scale Octave Network for Hyperspectral and Multispectral Image Fusion.

Tianming Zhan, Zuolin Bi, Huapeng Wu, Chao Xu, Qian Du, Yang Xu, Zebin Wu

IEEE Trans. Geosci. Remote. Sens., 2022

Spatial-Spectral Local Domain Adaption for Cross Domain Few Shot Hyperspectral Images Classification.

Biqi Wang, Yang Xu, Zebin Wu, Tianming Zhan, Zhihui Wei

IEEE Trans. Geosci. Remote. Sens., 2022

Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning.

Minghua Wan, Yu Yao, Tianming Zhan, Guowei Yang

IEEE Trans. Circuits Syst. Video Technol., 2022

MMSRC: A Multidirection Multiscale Spectral-Spatial Residual Network for Hyperspectral Multiclass Change Detection.

Hongmei Ge, Yongsheng Tang, Zuolin Bi, Tianming Zhan, Yang Xu, Aibo Song

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Weighted Collaborative Sparse and L_1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing.

Le Sun, Feiyang Wu, Chengxun He, Tianming Zhan, Wei Liu, Daopan Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

BRCN-ERN: A Bidirectional Reconstruction Coding Network and Enhanced Residual Network for Hyperspectral Change Detection.

Bo Song, Yongsheng Tang, Tianming Zhan, Zebin Wu

IEEE Geosci. Remote. Sens. Lett., 2022

A new weakly supervised discrete discriminant hashing for robust data representation.

Minghua Wan, Xueyu Chen, Cairong Zhao, Tianming Zhan, Guowei Yang

Inf. Sci., 2022

2021

An Efficient Formal Modeling Framework for Hybrid Cloud-Fog Systems.

Xiao Chen, Jie Ding, Zhenyu Lu, Tianming Zhan

IEEE Trans. Netw. Sci. Eng., 2021

Tensor Regression and Image Fusion-Based Change Detection Using Hyperspectral and Multispectral Images.

Tianming Zhan, Yanwen Sun, Yongsheng Tang, Yang Xu, Zebin Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection.

Tianming Zhan, Bo Song, Le Sun, Xiuping Jia, Minghua Wan, Guowei Yang, Zebin Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection.

Tianming Zhan, Bo Song, Yang Xu, Minghua Wan, Xin Wang, Guowei Yang, Zebin Wu

Remote. Sens., 2021

Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction.

Minghua Wan, Xueyu Chen, Tianming Zhan, Chao Xu, Guowei Yang, Huiting Zhou

Inf. Sci., 2021

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification.

Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

Complex., 2021

Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder.

Jingfa Zhang, Yang Xu, Tianming Zhan, Zebin Wu, Zhihui Wei

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images.

Le Sun, Feiyang Wu, Tianming Zhan, Wei Liu, Jin Wang, Byeungwoo Jeon

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

3-D Channel and Spatial Attention Based Multiscale Spatial-Spectral Residual Network for Hyperspectral Image Classification.

Zhenyu Lu, Bin Xu, Le Sun, Tianming Zhan, Songze Tang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

The classification of gliomas based on a Pyramid dilated convolution resnet model.

Zhenyu Lu, Yanzhong Bai, Yi Chen, Chunqiu Su, Shanshan Lu, Tianming Zhan, Xunning Hong, Shuihua Wang

Pattern Recognit. Lett., 2020

Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification.

Tianming Zhan, Zhenyu Lu, Minghua Wan, Guowei Yang

IEEE Geosci. Remote. Sens. Lett., 2020

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions.

Guowei Yang, Shaohua Qi, Teng Yu, Minghua Wan, Zhangjing Yang, Tianming Zhan, Fanlong Zhang, Zhihui Lai

IEEE Access, 2020

Hyperspectral Image Restoration for Non-additive Noise.

Fanlong Zhang, Heyou Chang, Zhangjing Yang, Tianming Zhan, Guowei Yang

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

2019

A novel method for breast mass segmentation: from superpixel to subpixel segmentation.

Shenghua Gu, Yi Chen, Fangqing Sheng, Tianming Zhan, Yunjie Chen

Mach. Vis. Appl., 2019

Discriminant maximum margin projections for face recognition.

Zhangjing Yang, Pu Huang, Minghua Wan, Tianming Zhan, Fanlong Zhang, Limin Luo

Multim. Tools Appl., 2019

Neutrosophic C-means clustering with local information and noise distance-based kernel metric image segmentation.

Zhenyu Lu, Yunan Qiu, Tianming Zhan

J. Vis. Commun. Image Represent., 2019

A method of visibility forecast based on hierarchical sparse representation.

Zhenyu Lu, Bingjian Lu, Hengde Zhang, You Fu, Yunan Qiu, Tianming Zhan

J. Vis. Commun. Image Represent., 2019

Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation.

Ting Ge, Ning Mu, Tianming Zhan, Zhi Chen, Wanrong Gao, Shanxiang Mu

Comput. Intell. Neurosci., 2019

Robust Regression-Based Markov Random Field for Hyperspectral Image Classification.

Tianming Zhan, Minghua Wan, Le Sun, Yang Xu, Guowei Yang, Zhenyu Lu, Zebin Wu

IEEE Access, 2019

Tri-Direction 2D-Fisher Discriminant Analysis (T2D-FDA) for Feature Extraction.

Minghua Wan, Hao Zheng, Guowei Yang, Tianming Zhan, Wei Huang

IEEE Access, 2019

A Hybrid Task Scheduling Scheme for Heterogeneous Vehicular Edge Systems.

Xiao Chen, Nigel Thomas, Tianming Zhan, Jie Ding

IEEE Access, 2019

Hyperspectral Classification Via Low-Rank Component Induced Spatial-Spectral Kernel.

Le Sun, Fei Yan, Tianming Zhan

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Stackable Attention-Guided Multi-scale CNN for Number Plate Detection.

Yixuan Wang, Shangdong Zheng, Wei Xu, Yang Xu, Tianming Zhan, Peng Zheng, Zhihui Wei, Zebin Wu

Proceedings of the Image and Graphics - 10th International Conference, 2019

Dog Face Recognition Algorithm Based on DC-Attention-SSD Neural Network.

Peng Wang, Quanbo Ge, Zhenyu Lu, Tianming Zhan

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

Multi-object Detection Method based on YOLO and ResNet Hybrid Networks.

Zhenyu Lu, Jia Lu, Quanbo Ge, Tianming Zhan

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018

Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation.

Tianming Zhan, Le Sun, Yang Xu, Guowei Yang, Yan Zhang, Zebin Wu

Remote. Sens., 2018

Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation.

Le Sun, Tianming Zhan, Zebin Wu, Liang Xiao, Byeungwoo Jeon

Remote. Sens., 2018

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm.

Yudong Zhang, Guihu Zhao, Junding Sun, Xiaosheng Wu, Zhiheng Wang, Hongmin Liu, Vishnuvarthanan Govindaraj, Tianming Zhan, Jianwu Li

Multim. Tools Appl., 2018

Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition.

Zhangjing Yang, Minghua Wan, Tianming Zhan, Zhihui Lai, Limin Luo, Pu Huang, Jincheng Zhang

Multim. Tools Appl., 2018

A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising.

Le Sun, Tianming Zhan, Zebin Wu, Byeungwoo Jeon

ISPRS Int. J. Geo Inf., 2018

A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints.

Tianming Zhan, Fangqing Shen, Xunning Hong, Xihu Wang, Yunjie Chen, Zhenyu Lu, Guowei Yang

IEEE Access, 2018

2017

A cloud computing architecture for characterization and classification of moving object.

Xiaojun Chen, Jia Ke, Tianming Zhan, Wen-Xin Wang, Yongzhao Zhan, Xiaobo Chen, Xin-Ping Song

Multim. Tools Appl., 2017

Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images.

Tianming Zhan, Renping Yu, Yu Zheng, Yongzhao Zhan, Liang Xiao, Zhihui Wei

Biomed. Signal Process. Control., 2017

2016

A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images.

Yang Xu, Zebin Wu, Fu Xiao, Tianming Zhan, Zhihui Wei

IEEE Geosci. Remote. Sens. Lett., 2016

Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method.

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

IEEE Access, 2016

Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression.

Shuihua Wang, Tianming Zhan, Yi Chen, Yin Zhang, Ming Yang, Huimin Lu, Hainan Wang, Bin Liu, Preetha Phillips

IEEE Access, 2016

Coupled dictionary learning on common feature space for medical image super resolution.

Songze Tang, Haitao Guo, Nan Zhou, Lili Huang, Tianming Zhan

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images.

Tianming Zhan, Yongzhao Zhan, Zhe Liu, Liang Xiao, Zhihui Wei

IET Comput. Vis., 2015

Hyperspectral image classification using multilayer superpixel graph and loopy belief propagation.

Tianming Zhan, Yang Xu, Le Sun, Zebin Wu, Yongzhao Zhan

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2012

A parametric statistic model and fast algorithm for brain MR image segmentation and bias correction.

Tianming Zhan, Zhihui Wei, Liang Xiao, Ling Qian

Proceedings of the Medical Imaging 2012: Image Processing, 2012