1.代表性研究成果

(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.