1.代表性研究成果 (所有论文学生为第一作者，导师为通讯作者)

2025年

(1) K. Shi, X. Zhang, H. Meng, C. Jia and L. Jiao, Multi-Gaussian Prototype Metric With Dual Optimization for Cross-Domain Few-Shot Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-19, 2025.

(2).Shuxiang Xia; Xiaohua Zhang; Hongyun Meng; Licheng Jiao ;Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Multi-Modal Feature Aggregation Based Multi-Head Axial Attention Transformer, IEEE TGRS,2025

(3).Chenjing Jia; Xiaohua Zhang; Hongyun Meng; Licheng Jiao ; CenterFormer: A Center Spatial-Spectral Attention Transformer Network for Hyperspectral Image Classification IEEE J-STAR, 2025, 18: 1-18.

(4). Hua Dong, Xiaohua Zhang,Hongyun Meng and Licheng Jiao,Noise-to-Abundance Translation: Unsupervised Hyperspectral Unmixing Based on Diffusion Models, IEEE TGRS,2025.

(5).Hua Dong , Xiaohua Zhang , Jinhua Zhang , Hongyun Meng ,and Licheng Jiao，Graph-Based Adaptive Network With Spatial-Spectral Features for Hyperspectral Unmixing, IEEE J-STAR,2025,18:12865-12881.

(6).Hua Dong, Xiaohua Zhang, Hongyun Meng & Licheng Jiao, A multistage graph-based autoencoder network with global-local features for hyperspectral unmixing,IJRS,2025,46(10):3709–3735.

2024年
(1).Li Wang; Xiaohua Zhang; Jinhua Zhang; Hua Dong; Hongyun Meng; Licheng Jiao; Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing, IEEE J-STAR, 2024, 17: 5734-5749.

(2).Shuxiang Xia; Xiaohua Zhang; Hongyun Meng; Licheng Jiao ; Ternary Modality Contrastive Learning for Hyperspectral and LiDAR Data Classification, IEEE TGRS, 2024, 62:1-17.

(3).Qianhui Sun; Xiaohua Zhang; Hongyun Meng; Shuxiang Xia; Licheng Jiao ; Expeditious Hyperspectral Image Classification With Inner and Outer Layered Transformer Using Feature Enhancement, IEEE J-STAR,2024, 17: 1903-1920.
(4).Jinhua Zhang,Xiaohua Zhang,Jiaxin Fan,Hongyun Meng，3D-CNN And Semi-Supervised Based Network for Hyperspectral Unmixing, IJRS, 2024, 168-191.DOI:10.1080/01431161.

(5)S. Xia, X. Zhang, H. Meng, J. Fan and L. Jiao, Two-Stream Networks for Contrastive Learning in Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1903-1920, 2024.

2023年

(1).C.Sun, X. Zhang, H. Meng, X. Cao, J. Zhang and L. Jiao, Dual-Branch Spectral–Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples, IEEE J-STAR, vol. 16, pp. 1-15, 2023.

(2).Jiaxin Fan；Xiaohua Zhang; Yue Chen;Caihao Sun, Classification of hyperspectral image by preprocessing method-based relation network, IJRS, 2023.Nov, 6929-6953, DOI 10.10-80/01431161.2023.2275325.

2022年
(1).Jinhua Zhang, Xiaohua Zhang. Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model, Remote Sensing. 2022,14(20).
(2).Sikang Hou, Xianghai Cao, Xiaohua Zhang. Hyperspectral Imagery Classification Based on Contrastive Learning，IEEE TGRS，2022,vol.60(12).

(3).Shuhan Zhang; Xiaohua Zhang; Tianrui Li; Hongyun Meng; Xianghai Cao; Li Wang,Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set,Remote Sensing,2022.

(4).Sun, CH;Zhang, XH;Meng, HY;Cao, XH;Zhang, JH,AC-WGAN-GP: Generating Labeled Samples for Improving Hyperspectral Image Classification with Small-Samples,Remote Sensing,2022.
(5).Tianrui Li,Xiaohua Zhang. Self-Supervised Learning With a Dual-Branch ResNet for Hyperspectral Image Classification, IEEE GRSL,2022,vol.19(6).

以前部分论文：

(1).Zhang,Xiaohua,Chen,JiaweiMeng,Hongyun,Tian,Xiaolin,Self-adaptive structured image sensing, Optical Engineering,2012，51(12);

(2).Jiawei Chen, Xiaohua Zhang, Hongyun Meng, Self-Adaptive Sampling Rate Assignment and Image Reconstruction via Combination of Structured Sparsity and Non-Local Total Variation Priors, Digital Signal Processing,2014,29(6):54-66；

(3).Xiaohua Zhang,Ting Bai,Hongyun Meng,Jiawei Chen，Compressive Sensing-based ISAR Imaging via the Combination of the Sparsity and Non-Local Total Variation, IEEE Geoscience and Remote Sensing Letters，2014,11(5):990-994；

(4).Xiaohua Zhang,Ma Zhaofeng,Hongyun Meng，SAR Image Despeckling by Combining Saliency Map and Threshold Selection，International Journal of Remote Sensing,2013,34(21):7854-7873；

(5).Zhang,Xiaohua,Chen,Jiawei,Meng, Hongyun, A Novel SAR Image Change Detection Based on Graph-Cut and Generalized Gaussian Model, IEEE Geoscience and Remote Sensing Letters,2013,10(1):14-18；

(6).Hou, Biao，Zhang, Xiaohua，Bu, Xiaoming,Feng, Hongxiao, SAR Image Despeckling Based on Nonsubsampled Shearlet Transform, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012,5(3):809-823;

(7).Zhang Xiao-Hua,Chen Jia-Wei,Meng Hong-Yun,Jiao Li-Cheng，Sun Xiang，SAR image despeckling: based on non-local means with non-subsample Shearlet and directional windows, Journal of Infrared and Millimeter Waves,2012,31(2):159-165

(8).Zhong, Hua,Yang, Chen,Zhang, Xiaohua,A New Weight for Nonlocal Means Denoising Using Method Noise, IEEE Signal Processing Letters,2012,19(8):535-538;

(9).Zhong, H.,Han, P. P.,Zhang, X. H.,Yu, Y. Q., Hybrid patch similarity for image denoising, Electronics Letters,2012,48(4):212-U150;

(10). Xiaolin Tian,Licheng Jiao,Xiaohua Zhang, Despeckling SAR images based on a new probabilistic model in nonsubsampled contourlet transform domain, Signal, Image and Video Processing,2014,8(8):1459-1474;

(11).Xiaolin Tian,Licheng Jiao,Xiaohua Zhang, Video denoising via spatially adaptive coefficient shrinkage and threshold adjustment in Surfacelet transform domain，Signal, Image and Video Processing,2014,8(5):901-912;

(12).Xiaolin Tian, Licheng Jiao,Xiaohua Zhang, A clustering algorithm with optimized multiscale spatial texture information: application to SAR image segmentation，International Journal of Remote Sensing,2013,34(4):1111-1126;

2.已授权专利

(1)张小华,陈茜,张兵，基于主成份分析的压缩感知方法，公开日：2012年10月，公开号：CN102722866A.

(2)张小华，焦李成，王爽，吴洋，田小林，钟桦，朱虎明，基于极限学习机的压缩感知重构方法，公开日：2014年7月，公开号：CN103942770A.

(3)张小华，焦李成，白婷，马晶晶，马文萍，王爽，侯彪，一种基于压缩感知的ISAR成像脉冲估计算法，公开日：2014年7月，公开号：CN103954962A.

(4)张小华，焦李成，王尚礼，王爽，钟桦，张扬，田小林，基于非局部全变差的核磁共振图像重构方法，公开日：2012年8月，公开号：CN102651125A.

(5)张小华，焦李成，王尚礼，王爽，钟桦，张扬，田小林，基于迭代投影的MRI图像重构方法，公开日：2012年7月，公开号：CN102609905A.

(6)张小华,焦李成,何攀辉,田小林,王爽,朱虎明,马晶晶，基于NormLV特征的低秩稀疏邻域嵌入超分辨方法，公开日期：2015年4月，公开号CN104504672A.

(7)张小华,焦李成,李洪峰,田小林,朱虎明,缑水平,侯 彪,钟 桦,刘 芳，基于方向信息测度的SAR图像目标变化检测方法，公开日：2010年1月,公开号：CN101634705.

(8)焦李成,张小华,王爽,侯彪,严晓丹,李洪峰,王桂婷,公茂果，基于Graph-cut和广义高斯模型的遥感图像变化检测方法，公开日：2010年6月，公开号：CN101751674A.

(9)张小华,焦李成,姚波旭;王爽;马文萍;马晶晶,钟桦,吴洋,林洪彬基于稀疏表示和低秩双重约束的非局部去噪方法, 公开日: 2016.05, 公开（公告）号: CN103473740B.

(10)张小华,焦李成, 马兆峰,马文萍,马晶晶,钟桦,基于极化分解和图像块相似性的极化SAR图像降斑方法，公开日:  2015. ,公开号: CN103093432B.