查看内容
  • 您现在的位置: 网站首页 师资队伍 查看内容

张华

发布日期:2017-6-9 08:38| 浏览次数: 438|

姓     名 张华 性      别
出生年月 1979年9月 籍      贯 安徽肥东
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 中国矿业大学环境与测绘学院 邮政编码 221116
通讯地址 江苏省徐州市大学路1号中国矿业大学南湖校区环测学院
单位电话 051683591301
个人主页

l  教育与学历

2017.02-2018.02

访问学者

意大利特伦托大学

2009.03-2010.09

访问学者

香港理工大学

2001.09-2004.06

地图制图学与地理信息工程硕士

中国矿业大学

1979.09-2001.06

测绘工程

中国矿业大学

 

l  工作经历

Ø  2014.1-至今    中国矿业大学环境与测绘学院副教授

Ø  2004.7-2013.12    中国矿业大学环境与测绘学院助教、讲师

l  研究方向

遥感数据处理,GIS理论与应用。

l  期刊论文(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. 8, pp., Aug, In Press. (SCI)

Ming Hao, Zhang Hua*, Zhenxuan Li, and Bingqian Chen (2017). Unsupervised change detection using a novel fuzzy c-means clustering simultaneously incorporating local and global information. Multimedia Tools and Applications, vol., no. , pp., In Press. (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, pp. 5457-5471. (SCI)

Ming Hao, Wenzhong Shi, Hua Zhang, Qunming Wang, Kazhong Deng (2016). A Scale-Driven Change Detection Method 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. An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images, Journal of Sensors,2016. (SCI)

2015

Pengfei He, Wenzhong Shi, Zelang Miao, Hua Zhang and Liping Cai. (2015). Advanced Markov random field model based on local uncertainty for unsupervised change detection, Remote Sensing Letters, vol.6, no.9, pp: 667-676. (SCI)

Liping Cai, Wenzhong Shi, Pengfei He, Zelang Miao, Ming Hao and Hua Zhang. (2015). Fusion of multiple features to produce a segmentation algorithm for remote sensing images, Remote Sensing Letters, vol.6, no.5, pp:390-398. (SCI)

Ming Hao, Wenzhong Shi, Kazhong Deng, and Hua Zhang(2015), Fusion-based approach to change detection to reduce the effect of the trade-off parameter in the 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, pp: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, pp:940-944. (SCI)

Nanshan Zheng, Hua Zhang*, Jingjing Fan and Hongjie Guan (2014), A fuzzy local neighbourhood-attractionbased information c-means clustering algorithm for very high spatial resolution imagery classification, Remote Sensing Letters, vol.5, no.9, pp: 843852, (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, pp: 210-214. (SCI)

 

Yongbo Wang, Yunjia Wang, Kan Wu, Hua chao Yang, Hua Zhang (2014), A dual quaternion-based, closed-form pairwise registration algorithm for point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, vol.94, pp: 63–69. (SCI)

Quming. Wang, Wenzhong. Shi and Hua. Zhang (2014), Class allocation for soft-then-hard subpixel mapping algorithms with adaptive visiting order of classes. IEEE Geoscience and Remote Sensing Letters, vol.11, no.9, pp: 1494–1498. (SCI)

Ming Hao, Wenzhong Shi, Kazhong Deng, and Hua Zhang(2014), A contrast-sensitive Potts model custom-designed for change detection, European Journal of Remote Sensing, vol.47, no.1, pp: 643-654. (SCI)

Pengfei He, Wenzhong Shi, Hua Zhang and Miang Hao. (2014). A novel dynamic threshold method for unsupervised change detection from remotely sensed images, Remote Sensing Letters, vol.5, no.4, pp: 396-403. (SCI)

Zelang Miao, Wenzhong Shi, Hua Zhang (2014), A Semi-Automatic Method for Road Centerline Extraction From VHR Images, IEEE Geoscience and Remote Sensing Letters, vol.11, no.11, pp: 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, pp: 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, pp: 583-587. (SCI)

Ming Hao, Wenzhong Shi, and Hua Zhang(2013), Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images. Remote Sensing Letters, vol.4, no.12, pp: 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, pp: 850-862. (SCI)

2011

Kimfung Liu, Wenzhong Shi and Hua Zhang (2011), A fuzzy topology-based maximum likelihood classification, ISPRS Journal of Photogrammetry and Remote Sensing, vol.66, pp: 103–114 (SCI)

Kimfung Liu, Wenzhong Shi and Hua Zhang (2011), A study of supervised classification accuracy in fuzzy topological methods, International Journal of Applied Earth Observation and Geoinformation , vol.13, no.1, pp. 89–99 (SCI)

l  主持项目(2010-2017

1. 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,4120145125万元,2013.01-2015.12

2. 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,4133117535万元,2014.01-2018.12

3. 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,2012BAK12B03-114万元;2012.1-2014.12

4. 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, 20万元,2015.07-2018.07

l  指导的已经毕业的研究生

l  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2016

l  在读研究生

l  2016

孙悦,硕士研究生

邵志凯,硕士研究生

l  2015

杨国庆,硕士研究生

l  获奖

2016 测绘科技进步奖(I, R8

2014 江苏省优秀博士论文奖

2013 江苏省科技进步奖(II, R7)

2012江苏省科技进步奖(III, R3)

2012 测绘科技进步奖(II, R3

上一篇:查剑锋下一篇:王中元

旧版入口| 联系我们 |

版权所有 © 2017 中国矿业大学环境与测绘学院 地址: 江苏省徐州市大学路1号中国矿业大学南湖校区 邮编:221116

微信
返回顶部