l教育与学历

姓名：张华

学位：博士

职称：副教授

行政职务： 无

研究方向： 遥感数据处理，GIS理论与应用。

Email: zhhua_79@163.com

l 教育与学历

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 期刊论文

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)

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, 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, 89–99 (SCI)

l 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（41971400），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（41201451），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（41331175），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。

l 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

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

l 获奖

2019 湖南省科技进步奖（Ⅱ, R5）

2019 煤炭工业协会科技进步奖(Ⅱ, R4)

2019 煤炭工业协会科技进步奖(Ⅱ, R7)

2017 测绘科技进步奖(特等, R6)

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）