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郝明

发布日期:2017-06-09| 浏览次数: 646|

 

姓      名 郝明                  性     别 男 
出生年月 1988年12月籍     贯 山东德州
民     族 汉族 政治面貌 中共党员
最后学历 博士最后学位
技术职称 讲师 导师类别
行政职务 Email cumthaoming@163.com
工作单位 中国矿业大学环境与测绘学院邮政编码
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
个人主页

l  教育与学历

2015.12-2016.12

访问学者

特伦托大学,意大利

2012.03-2012.12

研究助理

香港理工大学

2010.09-2015.06

大地测量学与测量工程博士

中国矿业大学

2006.09-2010.06

测绘工程学士

中国矿业大学

 

l  工作经历

Ø  2015.07-至今      中国矿业大学环境与测绘学院讲师

Ø  研究方向

遥感图像处理;变化检测;特征提取,模式识别。

l  期刊论文

2017

[1]. Ming Hao, Hua Zhang, Zhenxuan Li, andBingqian Chen. Unsupervised change detection using a novel fuzzy c-meansclustering simultaneously incorporating local and global information.Multimedia Tools and Applications, 2017. (SCI)

[2]. Zhenxuan Li, Wenzhong Shi, Hua Zhang, and Ming Hao. ChangeDetection Based on Gabor Wavelet Features for Very High Resolution RemoteSensing Images. IEEE Geoscience and Remote Sensing Letters, 2017, 14(5): 783-787.(SCI)

[3]. Hua Zhang, Qunming Wang, Wenzhong Shi, and Ming Hao. ANovel Adaptive Fuzzy Local Information C-means Clustering Algorithm forRemotely Sensed Imagery Classification. IEEE Transaction on Geoscience andRemote Sensing, 2017. (已录用,SCI)

2016

[4]. Ming Hao, Wenzhong Shi, Hua Zhang, Qunming Wang, and Kazhong Deng. A scale-drivenchange detection method incorporating uncertainty analysis for remote sensingimages. Remote Sensing, 2016, 8, 745.(SCI)

[5]. Ming Hao, Wenzhong Shi, Kazhong Deng, and Qiyan Feng. Superpixel-based activecontour model for unsupervised change detection from satellite images. International Journal ofRemote Sensing, 2016, 37(18): 4276-4295. (SCI)

[6]. Ming Hao, Wenzhong Shi, Kazhong Deng, Hua Zhang, and Pengfei He. An object-basedchange detection approach using uncertainty analysis for VHR images. Journal ofSensors, 2016, Article ID 309696. (SCI)

2015

[7]. MingHao, WenzhongShi, Kazhong Deng, and Hua Zhang. Fusion-based approach to change detection toreduce the effect of the tradeoff parameter in the active contour model. Remote Sensing Letters, 2015, 6(1):39-48. (SCI)

[8].Wenzhong Shi, Xiaokang Zhang, Ming Hao, Pan Shao, Liping Cai,and Xuzhe Lyu. Validation of Land Cover Products Using Reliability. RemoteSensing, 2015, 7: 7846-7864.

2014

[9]. Ming Hao, Wenzhong Shi, Kazhong Deng, and Hua Zhang. A contrast-sensitive Pottsmodel custom-designed for change detection. EuropeanJournal of Remote Sensing, 2014, 47643-654. (SCI)

[10]. Ming Hao, WenzhongShi, Hua Zhang and Chang Li. Unsupervised change detection withExpectation-Maximization-based level set, IEEEGeoscience and Remote Sensing Letters, 201411(1)210-214. (SCI

[11]. 郝明,史文中,张华. 利用主动轮廓和MRF探测震后损坏建筑物[J],中国矿业大学学报,201442(1)156-161. (EI)

[12]. 郝明,史文中,张华. 一种基于LiDAR数据的建筑物自动提取方法[J],测绘通报, 2014, 4: 82-85.  (中文核心)

[13].Hua Zhang, Yunjia Wang, Wenzhong Shi, Ming Hao, and Zelang Miao.Spatial attraction based Markov random field approach for classification ofhigh spatial resolution multispectral imagery, IEEE Geoscience and Remote Sensing Letters, 2014, 11(2)489-493. (SCI)

[14]. Hua Zhang, Yunjia Wang, Wenzhong Shi, Ming Hao, and Zelang Miao. Classification of very high spatial resolutionimagery based on pixel shape features set and spectral information. IEEE Geoscience and Remote Sensing Letters,2014, 11(5)940-944. (SCI)

[15].Pengfei He, Wenzhong Shi, Hua Zhang, and Ming Hao. A noveldynamic threshold method for unsupervised change detection from remotely sensedimages. RemoteSensing Letters, 20145(4)396–405. (SCI)

2013

[16]. Ming Hao, Hua Zhang, Wenzhong Shi, and Kazhong Deng. Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images. Remote Sensing Letters, 20134(12)1185–1194. (SCI)

[17]. Wenzhong Shi, and Ming Hao*. A method to detect earthquake-collapsed buildings from high-resolution satellite images. Remote Sensing Letters, 20134(12)1166–1175. (SCI,通讯作者)

[18]. Wenzhong Shi, Ming Hao*. Analysis of spatial distribution pattern of change-detection error caused by misregistration. International Journal of Remote Sensing, 2013, 34(19): 6883-6897. (SCI,通讯作者)

2012

[19].郝明,邓喀中,张华. 基于遥感数据提取建筑物的主动轮廓改进模型[J],中国矿业大学学报,201241(5)833-838. (EI)

 

l  主持项目(2015-2017

1. 面向地理国情监测的实用变化检测技术研究,地理国情监测国家测绘地理信息局重点实验室开放基金,409710743万元,2015-2016。(评为优秀)

2. 光谱-空间-纹理信息优化的马尔可夫随机场变化检测方法,博士后面上基金,5万元,2015-2016

3. 基于多特征深度学习的高分辨率遥感影像对象级变化检测方法,江苏省自然科学基金青年项目,20万元,2016-2018

 

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