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Faculty

Min Cao Associate Professor

Research Interests: 
Spatial data mining
Bio: 

Educational Background

Ph.D.(successive master-doctor program), Cartography and Geographic Information Science(GIS), China University of Mining and Technology(2009)

B.Sc. Land Resources Management, China University of Mining and Technology(2004)

 

Research

       Research Interests

Research interests focus on Geospatial analysis and Geographic modeling of geography phenomena such as land use/land cover change, urban expansion, wildfire spread, pest spread, expansion of spartina alterniflora, terrain evolution, etc. This work mainly consist of remote sensing images processing, social surveys, spatial analysis on historical patterns of the landscape change, a computer-based simulation of the geographical processes, etc.

 

Research Projects

  1. National Science Foundation of China (Grant No. 4167010714), Study on the irregular vector-based cellular automata and muli-agent model by considering urban expansion pattern. (2017.01-2020.12, ¥650,000, PI)
  2. National Science Foundation of China (Grant No.41471316), Research on DEM-based loess ravine spectrum. (2015.1-2018.12, ¥850,000, Co-PI)
  3. National Science Foundation of China (Grant No. 41271438), DEM-Based loess ravine population characteristics and spatial heterogeneity. (2013.1-2016.12, ¥750,000, Co-PI)
  4. National Science Foundation of China (Grant No.41301415), Video monitoring data based crowd characteristics analysis in regional geographical scene. (2014.1-2016.12, ¥250,000, Co-PI)
  5. National Science Foundation of China (Grant No. 41301414), Service encapsulation method for heterogeneous geographical analysis models. (2014.1-2016.12, ¥250,000, Co-PI)
  6. program of Natural Science Research of Jiangsu Higher Education Institutions of China (Grant No.13KJB420003), Intelligent method to discover transition rules for cellular automata using bee colony optimisation. (2013.8-2015.12, ¥32,000, PI)
  7. Surveying and mapping scientific research projects of Jiangsu Province, China(Grant No. JSCHKY201304), Applying vector-based cellular automata to simulate Jiangsu land use dynamic change for nearly 30 years. (2013.4-2014.3, ¥30,000, PI)
  8. National Science Foundation of China (Grant No. 41101349), Vector-based cellular automata and agent-based model for simulating reginal land use change. (2012.1-2014.12, ¥230,000, PI)

 

Journal Articles

  1. Min Cao, Sean J. Bennett, Quanfei Shen & Ruqi Xu (2016): A bat-inspired approach to define transition rules for a cellular automaton model used to simulate urban expansion, International Journal of Geographical Information Science. doi:http://dx.doi.org/10.1080/13658816.2016.1151521(SCI)
  2. CAO Min, Guo’an Tang(Corresponding author),Quanfei Shen and Yanxia Wang. A new discovery of transition rules for cellular automata by using cuckoo search algorithm, International Journal of Geographical Information Science,2015, Volume:29, Issue:5, pages:806-824. doi:10.1080/13658816. 2014.999245. (SCI)
  3. Lu Yi, Cao Min(Corresponding author), Zhang Lei. A vector-based Cellular Automata model for simulating urban land use change. Chinese Geographical Science, 2015,Volume:25,Issue:1,pages:74–84. doi:10.1007/ s11769-014-0719-9. (SCI)
  4. CAO Min, Guo’an Tang(Corresponding author), Fang Zhang and Jianyi Yang (2013). A cellular automata model for simulating the evolution of positive-negative terrains in a small loess watershed, International Journal of Geographical Information Science, Volume:27,Issue:07,pages:1349-1363. (SCI)
  5. Jianyi Yang, Guo’an Tang(Corresponding author), Min Cao & Rui Zhu (2013). An intelligent method to discover transition rules for cellular automata using bee colony optimisation. International Journal of Geographical Information Science, Volume: 27, Issue: 10, pages :1849-1864. (SCI)
  6. Cao Min, Shi Zhaoliang, Yang Jianyi (2013). An innovative method to classify remote sensing images using artificial bee colony algorithm, Acta Geodaetica et Cartographica Sinica, 42(5):745-751.(in Chinese)
  7. ZHANG Fang, TANG Guo-an, CAO Min, YANG Jian-yi (2013). Simulation of Positive and Negative Terrain Evolution in Small Loess Watershed Based on ANN-CA Model, Geography and Geo-Information Science,  29(1):28-31.(in Chinese)
  8. CAO Min, FAN Guangqin, SHI Zhaoliang (2012).Simulation of the Regional Land Use Evolution Based on MSVM-CA Model, China Land Sciences, 26(6):62-67.(in Chinese)
  9. Cao Min, Tang Guo'an, Zhang Fang, Yang Jianyi (2012). Simulation of terrain evolution in small loess watershed based on cellular automata, Transactions of the Chinese Society of Agricultural Engineering, 28(22):149-155.(in Chinese)
  10. CAO Min, SHI Zhaoliang, SHEN Quanfei (2011). Reconstruction of 3D Building Geometrical Model Based on High-precision DSM, Bulletin of Surveying and Mapping,10,pp.20-22.(in Chinese)
  11. CAO Min, SHI Xiao, TAN Shanshan (2010). Simulation of Land Use Change using Genetic Algorithms Neurology Network Based Cellular Automata.the International Conference on Multimedia Technology, the Special Workshop on Geoscience and Remote Sensing, vol.Ⅱ,pp.1116-1119.
  12. Min CAO, Shan-shan TAN and Quan-fei SHEN(2010). Study on Image Fusion Model Based on HIS Transform and Nonsubsampled Contourlet Transform, in the International Conference on Remote Sensing, edited by Moufu Zhou, pp.130-133.
  13. SHI Zhaoliang,GONG Yuexin, CAO Min, SHI Xiao(2010). Discussion on Application of Surveying and Mapping Technology in the Internet of Things Times, Modern Surveying and Mapping, 33(3):3-5.(in Chinese)
  14. CAO Min, BIAN Zheng-fu (2009). Lifting Wavelet Fusion Based ALOS Image Land Cover Classification, Journal of China University of Mining & Technology, 38(5):655-659. (in Chinese)
  15. CAO Min, SHI Zhaoliang (2010). Transition Rule for Cellular Automata Based on Genetic Algorithm and Artificial Neurology Network, Bulletin of Surveying and Mapping,3,pp.24-27.(in Chinese)
  16. CAO Min, SHI Zhaoliang,SHEN Quanfei (2009). Remote Sensing Images Fusion Model Based on HIS and Lifting Wavelet Transforms, Bulletin of Surveying and Mapping,3,pp.20-23.(in Chinese)
  17. SHEN Quanfei, CAO Min(2009). Study on Aerial Triangulation Conversion and Accuracy Control in Pixel Factory, Modern Surveying and Mapping, 32(2):10-14.(in Chinese)
  18. CAO Min, SHI Zhaoliang, SHEN Quanfei (2008). Selection of ALOS Image Optimum Band Combination in Land Cover Classification. Bulletin of Surveying and Mapping, 9,pp.16-18.(in Chinese)
  19. SHI Zhaoliang, SHEN Quanfei, CAO Min (2007). Processing and Accuracy Analysis of True Ortho in Pixel Factory. Journal of Zhengzhou Institute of Surveying And Mapping, 24(5):332-335.(in Chinese)
  20. SHI Zhaoliang, CAO Min (2007). A Study of Surveying and Mapping of Island and Tidal Flat Based on LiDAR. Bulletin of Surveying and Mapping,5,pp.49-53.(in Chinese)
  21. CAO Min, BIAN Zheng-fu, SHEN Quanfei (2007). Study on the Evaluation of Sustainable Land Use-Based on Ecological Footprint Model. Ecological Economy,5,pp.64-67.(in Chinese)
  22. CAO Min, SHEN Quanfei, JIN Dan (2006). Design and Realization of Land-Use Map Symbol Bank Based on MapInfo. Scientific and Technological Management of Land And Resources, 23(3):93-96.(in Chinese)
  23. CAO Min, SHI Zhaoliang(2006). Primary Study of Massive Imaging Auto-processing System "Pixel Factory". Bulletin of Surveying and Mapping, 10, pp.55-58.(in Chinese)

 

Patents

  1. An intelligent method to discover transition rules for cellular automata using bee colony optimization : CN102981891A, 3/3
  2. An innovative method to classify remote sensing images using artificial bee colony algorithm: CN103049757A,1/3

 

Honors and Awards

  1. Design and simulation of tour design based on the Agent, the first prize of the Ninth Session of the Yangtze River Delta Science and Technology Forum (Surveying and Mapping Sub Forum),2012
  2. Third prize of National College of Surveying and Mapping of Young Teachers Teaching Skills Competition, 2011
  3. Study on LUCC modeling using Cellutar Automata and Genetic Neural Network, the first prize of National Land Resource Management Doctor Forum, 2009

 

Contact

Fax: +86 025 85891347

Tel: +86 15895885839

Email: caomin@njnu.edu.cn