姓 名 张华1 性 别 男
出生年月 1979年9月 籍贯 安徽肥东县
民 族 汉族 政治面貌 群众
最后学历 博士研究生毕业 最后学位 工学博士
技术职称 副教授 导师类别 硕导
行政职务 Email zhhua_79@163.com
工作单位 中国矿业大学 邮政编码 221116
通讯地址 江苏徐州中国矿业大学环境与测绘学院
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个人简介
张华，男，1979年9月出生，安徽肥东人，博士，副教授，硕士生导师。主要从事遥感数据不确定性、空间分析及GIS算法与应用系统开发。2001年获中国矿业大学测绘工程专业学士学位，2004年获中国矿业大学地图制图学与地理信息工程专业硕士学位，2012年获中国矿业大学地图制图学与地理信息工程专业博士学位。2004年至今一直在中国矿业大学从事教学和科研工作，2009.3-2010.9月在香港理工大学LSGI系作为研究助理进行遥感数据不确定性研究。2017.2-2018.2月在意大利特伦托大学访问。发表学术论文30余篇，其中，在IEEE Transactions On Geoscience and Remote Sensing、ISPRS Journal of Photogrammetry and Remote Sensing、IEEE Geoscience and Remote Sensing Letters等杂志上发表SCI检索论文20余篇，在Mining Science and Technology等期刊上发表第一作者EI检索论文3篇，中文核心4篇。主持国家自然科学基金项目面上项目和青年基金各1项、国家十二五科技支撑项目1项、国家自然基金重点项目子项目1项。获得江苏省科学技术奖二等、三等奖、湖南省科技进步奖二等奖、测绘科技进步奖二等奖及煤炭工业协会科技进步奖二等奖各1项。获江苏省2014年度优秀博士论文。

研究领域
遥感数据处理，GIS理论与应用

科研项目
1. 基于倾斜摄影的城市不透水面精细化提取方法，国家自然科学基金面上项目（**），2020.01-2023.12。
2. 基于模糊拓扑及多特征融合的遥感影像亚像元定位，国家自然基金青年基金项目（**），2013.01-2015.12。
3. 可靠性遥感影像分类与空间关联分析研究，国家自然基金重点项目子课题（**），2014.01-2018.12。
4. 数字周边构建与地缘环境分析关键技术研究，十二五科技支撑（2012BAK12B03-1），2012.1-2014.12。
5. 融合空间邻域信息的可靠性遥感影像变化检测, 学科前沿方向研究专项, 2015XKQY09,2015.07-2018.07。

发表论文
2019
Yue Sun, Hua Zhang*(2019). A Two-Stage Spatiotemporal Fusion Method for Remote Sensing Images. Photogrammetric Engineering & Remote Sensing, vol. 86, No. 12, 907-914 (SCI);
Yue Sun, Hua Zhang* and Wenzhong Shi (2019). A spatio-temporal fusion method for remote sensing data Using a linear injection model and local neighbourhood information. International Journal of Remote Sensing, vol. 40, no. 8, 2965-2985. (SCI);
Ming Hao, Min Tan and Hua Zhang (2019). A change detection framework by fusing threshold and clustering methods for optical medium resolution remote sensing images. European Journal of Remote Sensing, vol. 52, no. 1, 96-106. (SCI);
2018
Hua Zhang, Lorenzo Bruzzone, Wenzhong Shi, Ming Hao, and Yunjia Wang (2018). Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 11, no. 8, 2896-2910. (SCI);
Hua Zhang, Wenzhong Shi, Ming Hao, Zhenxuan Li and Yunjia Wang (2018). An adaptive spatially constrained fuzzy c-means algorithm for multispectral remotely sensed imagery clustering. International Journal of Remote Sensing, vol. 39, no. 8, 2207-2237. (SCI);
Pengfei He, Wenzhong Shi and Hua Zhang (2018). Adaptive superpixel based Markov random field model for unsupervised change detection using remotely sensed images. Remote Sensing Letters, vol. 9, no. 8, 724-732. (SCI);
2017
Hua Zhang, Qunming Wang, Wenzhong Shi, and Ming Hao (2017). A Novel Adaptive Fuzzy Local Information C-Means Clustering Algorithm for Remotely Sensed Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 9, 5057-5067. (SCI)；
Ming Hao, Zhang Hua*, Zhenxuan Li, and Bing qian Chen (2017). Unsupervised change detection using a novel fuzzy c-means clustering simultaneously incorporating local and global information. Multimedia Tools and Applications, vol. 76, no. 19, 20081-20098 (SCI);
Zhenxuan Li, Wenzhong Shi, Hua Zhang, and Ming Hao (2017). Change Detection Based on Gabor Wavelet Features for Very High Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, 2017, 14(5), 783-787. (SCI)
2016
Liping Cai, Wenzhong Shi, Hua Zhang and Ming Hao (2016). Object-oriented change detection method based on adaptive multi-method combination for remote-sensing images, International Journal of Remote Sensing, vol. 37, no. 22, 5457-5471. (SCI)
Ming Hao, Wenzhong Shi, Hua Zhang, Qunming Wang, Kazhong Deng (2016). A Scale-Driven Change DetectionMethod Incorporating Uncertainty Analysis for Remote Sensing Images, remote sensing, vol. 8, no. 9. (SCI)
Ming Hao, Wenzhong Shi, Kazhong Deng, Hua Zhang and Pengfei He. AnObject-Based Change Detection Approach Using Uncertainty Analysis for VHRImages, Journal of Sensors, 2016. (SCI)
2015
Pengfei He, Wenzhong Shi, Zelang Miao, Hua Zhang and Liping Cai.(2015). AdvancedMarkov random field model based on local uncertainty for unsupervised changedetection, Remote Sensing Letters, vol.6, no.9, 667-676. (SCI)
Liping Cai, Wenzhong Shi, Pengfei He, Zelang Miao, Ming Hao and Hua Zhang.(2015). Fusion ofmultiple features to produce a segmentation algorithm for remote sensing images, Remote Sensing Letters, vol.6, no.5, 390-398. (SCI)
Ming Hao, Wenzhong Shi, Kazhong Deng, and Hua Zhang (2015), Fusion-basedapproach to change detection to reduce the effect of the trade-off parameter inthe active contour model, Remote Sensing Letters, vol.6, no.1, pp: 39-48. (SCI)
2014
Hua Zhang, Wenzhong Shi, Yunjia Wang, Ming Hao, and Zelang Miao (2014), Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery, IEEE Geoscience and Remote Sensing Letters, vol.11, no.2, 489-493.(SCI)
Hua Zhang, Wenzhong Shi, Yunjia Wang, Ming Hao, and Zelang Miao (2014), Classification of Very High Spatial Resolution Imagery Based on a New Pixel Shape Feature Set, IEEE Geoscience and Remote Sensing Letters, vol.11,no.5, 940-944. (SCI)
Nanshan Zheng, Hua Zhang*, Jingjing Fan and Hongjie Guan (2014), A fuzzy local neighbourhood-attraction based information c-means clustering algorithm for very high spatial resolution imagery classification, Remote Sensing Letters, vol.5, no.9, 843–852, (SCI)
Ming Hao, Wenzhong Shi, Hua Zhang and Chang Li (2014), Unsupervised change detection with Expectation-Maximization-based level set, IEEE Geoscience and Remote Sensing Letters, vol.11, no.1, 210-214. (SCI)
Yongbo Wang, Yunjia Wang, Kan Wu, Hua chaoYang, Hua Zhang (2014), A dualquaternion-based, closed-form pairwise registration algorithm for point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, vol.94, 63–69. (SCI)
Quming. Wang, Wenzhong. Shi and Hua Zhang (2014), Classallocation for soft-then-hard subpixel mapping algorithms with adaptivevisiting order of classes. IEEE Geoscience and Remote Sensing Letters, vol.11, no.9, 1494–1498. (SCI)
Ming Hao, Wenzhong Shi, Kazhong Deng, and Hua Zhang (2014), Acontrast-sensitive Potts model custom-designed for change detection, European Journal of Remote Sensing, vol.47, no.1, 643-654. (SCI)
Pengfei He, Wenzhong Shi, Hua Zhang and Ming Hao. (2014). A noveldynamic threshold method for unsupervised change detection from remotely sensedimages, Remote Sensing Letters, vol.5, no.4, 396-403. (SCI)
Zelang Miao, Wenzhong Shi, Hua Zhang (2014), ASemi-Automatic Method for Road Centerline Extraction From VHR Images, IEEE Geoscience and Remote Sensing Letters, vol.11,no.11, 1856-1860. (SCI)
Wenzhong Shi, Zelang Miao, Qunming Wang and Hua Zhang (2014), Spectral–Spatial Classification and Shape Features for Urban Road Centerline Extraction, IEEE Geoscience and Remote Sensing Letters, vol.11, no.4, 788-792. (SCI)
2013
Zelang Miao, Wenzhong Shi, Hua Zhang and Xinxin Wang (2013), Road Centerline Extraction From High-Resolution Imagery Based on Shape Features and Multivariate Adaptive Regression Splines, IEEE Geoscience and Remote Sensing Letters, vol.10, no.3, 583-587. (SCI)
Ming Hao, Wenzhong Shi, and Hua Zhang (2013), Unsupervisedchange detection using fuzzy c-means and MRF from remotely sensed images. Remote Sensing Letters, vol.4, no.12, 1185-1194. (SCI)
2012
Hua Zhang, Wenzhong Shi, and Kim Liu (2012). Fuzzy-topology-integrated Support Vector Machine for remotely sensed image classification. IEEE Transactions on Geoscience and Remote Sensing, vol.50, no.3, 850-862. (SCI)

出版专著和教材
遥感数据可靠性分类方法研究，测绘科学出版社，2016

指导学生情况
指导的已经毕业的研究生
2019
孙悦，硕士论文：基于Landsat与MODIS数据的时空融合算法研究
刁丰华，硕士论文，基于无参考数据的众源地理信息质量评价方法研究——以OpenStreetMap路网数据为例
2018
杨国庆，硕士论文：基于空间邻域信息的高光谱遥感影像半监督分类
2016
樊敬敬，硕士论文：基于机载LiDAR点云数据的城区植被与建筑物提取研究
l在读研究生
2019
邹剑波，硕士研究生
王颖婷，硕士研究生
2018
任凯，硕士研究生
赵亚松，硕士研究生
2017
孟艳秋，硕士研究生