Publications (2010~2021)
1. Ming Hao, Mengchao Zhou⁎, Liping Cai. An improved graph-cut-based unsupervised change detection method for multispectral remote sensing images. International Journal of Remote Sensing, 2021, 42(11): 4005-4022.
2. Dizhou Guo, Wenzhong Shi⁎, Ming Hao⁎, et al. FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details. Remote Sensing of Environment, 2020, 248: 111973.
3. Jian Jin, Ming Hao*. Registration of UAV Images using Improved Structural Shape Similarity based on Mathematical Morphology and Phase Congruency. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 1503-1514.
4. Ming Hao, Mengchao Zhou*, Jian Jin, et al. An advanced superpixel-based Markov random field model for unsupervised change detection. IEEE Geoscience and Remote Sensing Letters, 2020, 17(8): 1401-1405.
5. Ming Hao, Wenzhong Shi*, Yuanxin Ye, et al. A novel change detection approach for VHR remote sensing images by integrating multi-scale features. International Journal of Remote Sensing, 2019, 40(13): 4910-4933.
6. Ming Hao, Min Tan*, Hua Zhang. A change detection framework by fusing threshold and clustering methods for optical medium resolution remote sensing images. European Journal of Remote Sensing, 2019, 52(1): 96-106.
7. Ming Hao, Jian Jin*, Mengchao Zhou, et al. Robust multisource remote sensing image registration method based on scene shape similarity. Photogrammetric Engineering and Remote Sensing, 2019, 85(10): 725-736.
8. Ming Hao, Hua Zhang*, Zhenxuan Li, and Bingqian Chen. Unsupervised change detection using a novel fuzzy c-means clustering simultaneously incorporating local and global information. Multimedia Tools and Applications, 2017, 67(19): 20081–20098.
9. Yuanxin Ye, Li Shen*, Ming Hao*, Jicheng Wang, and Zhu Xu. Robust Optical-to-SAR Image Matching Based on Shape Properties. IEEE Geoscience and Remote Sensing Letters, 2017, 14(4): 564-568.
10. Ming Hao, Wenzhong Shi*, Hua Zhang, Qunming Wang, and Kazhong Deng. A scale-driven change detection method incorporating uncertainty analysis for remote sensing images. Remote Sensing, 2016, 8, 745.
11. Ming Hao, Wenzhong Shi*, Kazhong Deng, and Qiyan Feng. Superpixel-based active contour model for unsupervised change detection from satellite images. International Journal of Remote Sensing, 2016, 37(18): 4276-4295.
12. 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, Article ID 309696.
13. Ming Hao, Wenzhong Shi*, Kazhong Deng, and Hua Zhang. Fusion-based approach to change detection to reduce the effect of the tradeoff parameter in the active contour model. Remote Sensing Letters, 2015, 6(1): 39-48.
14. Ming Hao, Wenzhong Shi*, Kazhong Deng, and Hua Zhang. A contrast-sensitive Potts model custom-designed for change detection. European Journal of Remote Sensing, 2014, 47：643-654.
15. Ming Hao, Wenzhong Shi*, Hua Zhang and Chang Li. Unsupervised change detection with Expectation-Maximization-based level set, IEEE Geoscience and Remote Sensing Letters, 2014，11(1)：210-214.
16. Ming Hao，Wenzhong Shi，Hua Zhang. Earthquake-damaged buildings detection using active contour algorithm and MRF，Journal of China University of Mining and Technology，2014，42(1)：156-161. (EI, In Chinese)
17. Ming Hao，Wenzhong Shi，Hua Zhang. A method to extract buildings automatically based on LiDAR data，Bulletin of Surveying and Mapping, 2014, 4: 82-85. (In Chinese)
18. 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, 2013，4(12)：1185–1194.
19. Wenzhong Shi, and Ming Hao*. A method to detect earthquake-collapsed buildings from high-resolution satellite images. Remote Sensing Letters, 2013，4(12)：1166–1175.
20. 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.
21. Ming Hao，Kazhong Deng，Hua Zhang. An improved active contour model to extract buildings based on remotely sensed data，Journal of China University of Mining and Technology，2012，41(5)：833-838. (EI, In Chinese)
Research Projects (2013-2021)
1. Qingdao Urban Geological Survey Technology Innovation and Application Remote Sensing Interpretation Project, Qingdao Geological Engineering Survey Institute, host，2019.12-2020.2.
2. Comprehensive Geological Survey Project of the Coastal Zone of Gelzhou Shandong Province, Qingdao Geological Engineering Survey Institute, host,9.7-2020.2.
3. The natural resource monitoring method based on Siamese network deep learning (2018NGCMZD01), the key project of the Open Fund of the Key Laboratory of the National Bureau of Surveying and Mapping and Geographic Information Monitoring of Geography, host，2019.1-2020.12.
4. Multi-source remote sensing image dynamic threshold multi-category change detection based on deep feature transfer learning (41701504), National Natural Science Youth Fund, host,2018.1-2020.12.
5. Object-level change detection method for high-resolution remote sensing images based on multi-feature deep learning (BK20160248), Youth Project of Jiangsu Natural Science Foundation, host,2016.7-2019.6.
6. Object-level change detection method for high-resolution remote sensing images based on multi-feature deep learning (BK20160248), Youth Project of Jiangsu Natural Science Foundation, host,2015-2016.
7. Research on Practical Change Detection Technology for Geographical National Conditions Monitoring, Open Fund of the Key Laboratory of the National Bureau of Surveying, Mapping and Geographic Information of Geographical Conditions Monitoring, 40971074, presided over, 2015-2016.(Rated as excellent).
8. Remote sensing image interpretation and monitoring of ecological environment and surface cover of Shenzhen Bay (2011-2013), mainly responsible for remote sensing image correction, interpretation and change detection and analysis, participant.
9. The National Natural Science Key Fund Project "Reliable Remote Sensing Image Classification and Spatial Correlation Analysis", mainly responsible for the research of remote sensing image classification methods, participant, 2014.1-2018.12.
10. The "Twelfth Five-Year Plan" project "Research on Key Technologies for Dynamic Monitoring of Reliability of Urban Agglomeration Geography and National Conditions", mainly responsible for the study of reliability change detection methods, participant, 2012.1-2017.12.
11. The "863" project "Key Technologies for Authenticity Inspection of Remote Sensing Products and Its Experimental Verification" is mainly responsible for establishing the reliability estimation model of remote sensing products. participant, 2012.1-2017.12.
12. Project "Reliability Evaluation Methods and Practical Techniques for Geographical National Conditions Monitoring" of the National Bureau of Surveying, Mapping and Geographic Information, responsible for reliability method research and test area verification tests, one of the project leaders, participant, 2013.6-2014.6.
13. Jiangsu Postgraduate Innovation Fund Project "High-resolution remote sensing image change detection based on integration of spatial and spectral information", host, 2011.9-2012.9.
14. China University of Mining and Technology's high-level dissertation fund project "GIS data-assisted high-resolution remote sensing image change detection", host, 2013.6-2014.5.
Monographs
1. Ming Hao, Wenzhong Shi, Kazhong Deng, Remote Sensing Change Detection Based on Enhanced Spatial Information, Beijing: Surveying and Mapping Press, 2016.12.
Invention Patent
1. A high-resolution remote sensing image supervised change detection method, Patent No: ZL201410027081.4, 2016, Wenzhong Shi, Ming Hao.
2. An unsupervised change detection method based on fuzzy topology, Patent No: ZL201310658490.X, 2016, Wenzhong Shi, Pan Shao, Ming Hao.
3. A dynamic threshold detection method for multi-category changes using multiple features of remote sensing images, Patent No: ZL201710431309.X, Ming Hao, Hua Zhang, Hongdong Fan, Wenzhong Shi, Kazhong Deng.
4. A heterogeneous remote sensing image registration method based on the similarity of ground features, substantive examination, Application number: 201811318809.3, Ming Hao, Jian Jin, Mengchao Zhou.
5. A method of temperature inversion and correction based on UAV thermal infrared image, substantive examination, Application number: 202010066849.4, Ming Hao, Yanyan Gao, Jian Jin, Chaoyun Yang.
On-Study Graduate Students
