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苗则朗
个人简介

苗则朗,男,1988年7月出生,摄影测量与遥感专业博士。分别于2009年和2014年在中国矿业大学获学士和硕士学位,2016年在香港理工大学获博士学位。2016年11月聘为中南大学特聘副教授。主要研究方向包括:遥感影像特征提取、高光谱影像分类、社交大数据在遥感中的应用、多源数据融合等。发表论文 30 余篇,其中 SCI 论文20余 篇; Google Scholar 引用量 350余次,单篇最高引用次数为 78 次, h-index 和 i10-index 均达到 9篇;授权专利 2 项。现主持国家自然科学基金(青年基金) 1 项,获省部级科技奖励 1 项。担任IEEE Transactions on Geoscience and Remote Sensing、IEEE Journal of Selected Topics on Geoscience and Remote Sensing等期刊审稿人。

Email: zelang.miao@csu.edu.cn

教育背景

l 2012/12~2016/09 香港理工大学 摄影测量与遥感 博士

l 2009/09~2014/06 中国矿业大学 大地测量学与测量工程 硕士

l 2005/09~2009/06 中国矿业大学 测绘工程 学士

工作经历

l 2016/11~2016/11 中南大学 特聘副教授

l 2016/07~2016/10 香港理工大学 高级研究助理

l 2015/03~2015/06 意大利帕维亚大学 访问博士

l 2010/10~2010/11 香港理工大学 研究助理

科研经历

l 主持项目

1) 国家自然科学基金(青年基金),“多时相SAR和GPS轨迹协同下的城市道路提取研究”(2018-2020年);

l 参与项目

1) 国家自然科学基金(面上项目),“高分辨率遥感影像“场景-目标”协同理解理论与方法研究”(2018-2020年);

2) 国家自然科学基金(青年基金),“基于模糊拓扑及多特征融合的遥感影像亚像元定位”,已结题;

3) 国家“十二五”科技支撑示范项目,“城镇群空间规划与动态监测关键技术研发与集成示范”,已结题;

4) 国家高技术研究发展计划(863)项目,“遥感基础地理信息数据真实性检验标准规范”,已结题。



工程测量学


学术成果
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1. 发表论文(第一、通讯作者)

1) M. Jiang, Z. Miao*, P. Gamba, and B. Yong. Application of Multitemporal InSAR Covariance and Information Fusion to Robust Road Extraction. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(6): 3611-3622.

2) Li, Z., Shi, W., Lu, P., Yan, L., Wang, Q., and Miao, Z. (2016). Landslide mapping from aerial photographs using change detection-based Markov random field. Remote Sensing of Environment, 187, 76-90.

3) Z. Miao, W. Shi, A. Samat, G. Lisini, and P. Gamba. Information fusion for urban road extraction from VHR optical satellite images. IEEE Journal of Selected Topics on Geoscience and Remote Sensing. 2015.

4) A. Samat, J. Li, S. Liu, P. Du, Z. Miao, J. Luo. Improved hyperspectral image classification by active learning using pre-designed mixed pixels. Pattern Recognition, DOI: 10.1016/j.patcog.2015.08.019.

5) Z. Miao, W. Shi, P. Gamba, and Z. Li. An object-based method for road network extraction in VHR satellite images. IEEE Journal of Selected Topics on Geoscience and Remote Sensing. 2015. DOI: 10.1109/JSTARS.2015.2443552.

6) H. Wu, Y. Dong, W. Shi, K. C. Clarke, Z. Miao, J. Zhang, X. Chen, An improved fractal prediction model for forecasting mine slope deformation using GM(1,1), Structural Health Monitoring, DOI: 10.1177/1475921715599050.

7) Z. Miao, B. Wang, W. Shi, and H. Wu. A method for accurate road centerline extraction from a classified image. IEEE Journal of Selected Topics on Geoscience and Remote Sensing. 2015, 7(12): 4762 – 4771.

8) Z. Miao, B. Wang, W. Shi, H. Wu, and Y. Wan. Use of GMM and SCMS for Accurate Road Centerline Extraction from the Classified Image, Journal of Sensors, vol. 2015, Article ID 784504, 13 pages, 2015. doi:10.1155/2015/784504

9) Z. Miao and W. Shi. A new methodology for spectral-spatial classification of hyperspectral images. Journal of Sensors, 2015. (in press)

10) B. Wang, W. Shi, Z. Miao. Confidence analysis of standard deviational ellipse and its extension into higher dimensional Euclidean space. PLoS ONE, 2015, 10(3): e0118537. DOI: 10.1371/journal.pone.0118537.

11) L. Cai, W. Shi, P. He, Z. Miao, M. Hao, and H. Zhang. Fusion of multi-features to produce a segmentation algorithm for remote sensing images. Remote Sensing Letters, 2015, 6(5): 390-398.

12) P. He, W. Shi, Z. Miao, H. Zhang, and L. Cai. Advanced Markov Random Field Model based on local uncertainty for unsupervised change detection. Remote Sensing Letters, 2015, 6(9): 667-676.

13) Z. Miao, B. Wang, W. Shi, and H. Zhang. A semi-automatic method for road centerline extraction from VHR images. IEEE Geoscience and Remote Sensing Letters, 2014, 11(11): 1856 – 1860.

14) W. Shi, Z. Miao, and J. Debayle. An integrated method for urban main road centerline extraction from optical remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3359-3372.

15) Z. Miao and W. Shi. Road centerline extraction from classified images by using the geodesic method. Remote Sensing Letters. 2014, 5(4): 367-376.

16) W. Shi, Z. Miao, Q. Wang, and H. Zhang. Spectral-spatial classification and shape features for urban road centerline extraction. IEEE Geoscience and Remote Sensing Letters, 2014, 11(4): 788-792.

17) H. Zhang, Y. Wang, W. Shi, M. Hao, and Z. Miao. Spatial-attraction-based Markov random field approach for classification of high spatial resolution multispectral imagery. IEEE Geoscience and Remote Sensing Letters, 2014, 11(2): 489-493.

18) H. Zhang, Y. Wang, W. Shi, M. Hao, and Z. Miao. Classification of very high spatial resolution imagery based on a new pixel shape feature set. IEEE Geoscience and Remote Sensing Letters, 2014, 11(5): 940-944.

19) H. Wu, Z. Cheng, W. Shi, Z. Miao, and C. Xu. An object-based image analysis for building seismic vulnerability assessment using high-resolution remote sensing imagery. Natural Hazards, 2014, 71(1): 151-174.

20) B. Wang, W. Shi, and Z. Miao. Comparative analysis for robust penalized spline smoothing methods. Mathematical Problems in Engineering, vol. 2014, Article ID 642475, 11 pages, 2014. doi:10.1155/2014/642475.

21) Z. Li, W. Shi, Q. Wang, and Z. Miao. Extracting man-made objects from high spatial resolution remote sensing images via fast level set evolutions. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 883 - 899.

22) Z. Miao, W. Shi, H. Zhang, and X. Wang. Road centerline extraction from high-resolution imagery based on shape features and multivariate adaptive regression splines. IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 583-587.

23) L. Cai, Z. Miao, W. Shi, S. Liu, and H. Zhang. An automatic built-up area extraction in optical satellite images. Geography and Geo-Information Science, 2015, 31(4): 739-746. (in Chinese)

24) L. Cai, W. Shi, H. Zhang, Z. Miao, and P. He. An edge direction adaptive multi-scale watershed segmentation algorithm. Journal of China University of Mining & Technology, 2015, 44(4): 739-746. (in Chinese)

25) Z. Miao, W. Shi, H. Zhang. A novel high-resolution satellite imagery road centerline extraction algorithm. Journal of China University of Mining & Technology, 2013, 42(5): 887-898. (in Chinese)

26) Z. Miao and W. Shi. Classification of hyperspectral images using morphological gradient. Bulletin of Surveying and Mapping, 2012, (6): 13-16. (in Chinese)

27) Z. Miao, Y. Feng, S. Zhang, and Q. Zhang. Research on probability distribution function of random line within the buffer zone. Bulletin of Surveying and Mapping, 2011, (2): 29-30. (in Chinese)

2. 授权专利

1) 史文中,苗则朗,融合空间信息及光谱信息的遥感图像的分类方法及装置,2015.04.01,中国,ZL201210003388.1;

2) 史文中,苗则朗,融合边缘和支持向量机对遥感图像进行分类的方法及装置,2014.06.25,中国,ZL201210003541.0。


学术奖励
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1) 2017,‘可靠性地理国情普查与动态监测关键技术’,测绘科技进步奖(特等奖),排名 5,中国测绘
地理信息学会;

2) 2015,江苏省优秀硕士论文,江苏省学术委员会.