Arasteh, M., “A Review on Dispersed Growth Dimensions as An Unstable Pattern of Urban Development in Yazd”, National Conference on Civil Engineering and Sustainable Development, 2010. [in Persian]
Abdullahi, A., Pradhan, B., "Application of GIS and RS in Urban Growth Analysis and Modeling", Spatial Modeling and Assessment of Urban Form. Springer, Cham, pp, 297-311, 2017
Alqurashi, A.F., Khalid, L.K., Al-Ghamdi. A., "Spatiotemporal Modeling of Urban Growth Predictions Based on Driving Force Factors in Five Saudi Arabian Cities", ISPRS Int. J. Geo-Inf, 5, 139, pp, 1-19, 2016
Ahmadlou, M., Delavar, M.R., Shafizadeh-Moghadam, H., Tayebi, A., "Modeling Urban Dynamics Usind Random Forest: Implementing ROC and TOC for Model Evaluation", The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B2, XXIII ISPRS Prague, Czech Republic ,Congress, 12–19 , July 2016
Buyadi, S.N, Mohd, W, Misni, A., “Green Spaces Growth Impact on the Urban Microclimate”, Procedia - Social and Behavioral Sciences, 105, pp, 547-557, 2013
Bergmeir, C., Benitez, J.M., “Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. Journal of Statistical Software”, 46(7), pp, 1-26, 2012
Bel, D.A., Nijkamp, P., Scholten, H., “Multidimensional urban sprawl in Europe: A self-organizing map approach”, Computers, Environment and Urban Systems, 35, pp, 263–275, 2011
Bhandaria, A.K., Kumara. A., Singh, G.K., "Feature Extraction using Normalized Difference Vegetation Index (NDVI): a Case Study of Jabalpur City", 2nd International Conference on Communication, Computing & Security, Procedia Technology , 6, pp, 612 – 621, 2012
Batisani, N., Yarnal, B., "Urban expansion in centre county, Pennsylvania: spatial dynamics
and landscape transformations", Appl Geogr. 29, pp, 235–249, 2009
Boone, R.B. and W.B. Krohn., "Modeling tools and accuracy assessment. In Predicting Species Occurrences: Issues of Accuracy and Scale’, Island Press, Washington, pp, 265-270, 2002
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., Lambin, E., "Review article digital change detection methods in ecosystem monitoring: a review", International Journal of Remote Sensing, 25, pp, 1565–1596, 2004
Chander, G., Markham, B. L., Helder, D. L., "Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+", and EO-1 ALI sensors", Remote sensing of environment, 113(5), pp, 893-903, 2009
Congalton, R.G. and K. Green., "Assessing the Accuracy of Remotely Sensed Data: Principles and Practices", Lewis Publishers, pp, 137, 1999
Congalton, R.S., "A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data", REMOTE SENS. ENVIRON, 37, pp, 35-46, 1991
Dhubkarya, D.C., Nagariya, D. and Kapoor, R., "Implementation Of A Radial Basis Function Using VHDL", Global Journal of Computer Science and Technology, 16-19, 2010
Devendran, A.T., Lakshmanan, G., " Urban growth prediction using neural network coupled agents-based Cellular Automata model for Sriperumbudur Taluk, Tamil Nadu, India", The Egyptian Journal of Remote Sensing and Space Sciences, 2018 https://doi.org/10.1016/j.ejrs.2017.12.004
Drost, C.A., S.R. Jacobs., K.A. Thomas., "Accuracy assessment of vertebrate distribution models for Arizona Gap", USGS-Colorado Plateau Research Station technical report. Flagstaff, Arizona. pp, 58, 1999
Deng. Y., Srinivasan, S., “Urban land use change and regional access: A case study in Beijing, China”, Habitat International, 51, pp, 103-113, 2016
Ewing R., Pendall R., Chen D., "Measuring sprawl and its impact. Smart Growth America",1, pp, 55, 2002
Galdavi, S., Mohammadzade, M. Salman, M., Nejafi Nejad, A., “Forest Change Modeling Using Logistic Regression in the period of 1988 – 2007”, Geographic space Journal, 14(46), pp, 51-70, 2013
Ghorbani, R., Pour Mohammadi, M.R., Mahmoud Zadeh, H., “Environmental Approach in Modeling Land Use Change in Tabriz Metropolitan Area Using Multi-Time Satellite Images, Multi-Scale Evaluation and CA-Markov (1984-2038)”, Quarterly Academic – Research Urban studies, Vol (7), 2013. [in Persian]
Rodriguez-Galiano, V.F., Luque-Espinar. J.A., Chica-Olmo, M., Mendes, P., "Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods", Science of the Total Environment, 624, pp, 661–672, 2018
Hsieh, C.S., “Analyzing urbanization data using rural–urban interaction model and logistic growth model”, Computers, Environment and Urban Systems, 45, pp, 89–100, 2014
Hu Z, Lo C., "Modeling urban growth in Atlanta using logistic regression", Compute Environ Urban Syst. 31, pp, 667–688, 2007
Ji, C.Y., “Land-Use Classification of Remotely Sensed Data Using Kohonen Self-organizing Feature
Map Neural Networks”, Photogrammetric Engineering & Remote Sensing, 66(12), pp, 1451-1460, 2000
Jamil. N.A, Rahman, M.T., " Utilization of Remote Sensing and GIS to Examine Urban Growth in the City of Riyadh, Saudi Arabia", Journal of Advances in Information Technology, 7(4), pp, 297-301, 2016
Jacob, N., Krishnan, R., Raju PVSP, P., "Spatial and Dynamic Modeling Techniques for Land Use Change Dynamics Study", J, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII. Part B2. Beijing 2008.
Jat, K.M., Gang, P.K., Khare. D., “Monitoring and modelling of urban sprawl using remote sensing and GIS techniques”, International Journal of Applied Earth Observation and Geoinformation 10, pp, 26–43, 2008
Kavzoglu, T., Mather, P. M., “The use of backpropagating artificial neural networks in land cover classification” , International Journal of Remote Sensing, 24(23), pp, 4907−4938, 2003
Kamusoko, C., Gamba, J., "Simulating Urban Growth Using a Random Forest-Cellular Automata (RF-CA) Model", ISPRS Int. J. Geo-Inf, 4, pp, 447-470, 2015
Khoshgoftar, M., Talei, M., Malek Pour, P., “Simulation of urban growth in Tehran using CA-Markov Model”, J Remote Sensing and GIS Iran, Vol(2), No(2), 2010. [In Persian]
Lo, C.P., Chol, J., "A hybrid approach to urban land use/cover mapping sing Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images", Int.J. Remote Sensing, 125(4), pp, 2687-2700, 2004
Lee, S., Lathrop, R. G., “Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic’, Journal International Journal of Remote Sensing, 26(22), 2005
Li, X., Gong, P., “Urban growth models: progress and perspective”, Science Bulletin, 61(21), pp, 1637–1650, 2016
Liu, S., Fu, W., He, L,, et al., "Distribution of primary additional errors in fractal encoding method [J]", Multimedia Tools Appl: In press, 2015
Li, Z., Eastman, J. R., “The nature and classification of unlabelled neurons in the use of Kohonen's self-organizing map for supervised classification. Transactions in GIS”, 10(4), pp, 599, 2006
Li, F., Thomas, J.J., Kustas, W.P., Schmugge, T.J., French, A.N., Cosh, M.H., Bindlish, R., “Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX,” Remote Sensing of Environment, 92, pp, 521-534, 2004
Moreno, N., Wang, F., Marceau, D.J., “A geographic object-based approach in cellular automata modeling”, Photogramm. Eng. Remote Sens, 76, pp, 183–191, 2010
Maithani, S., “A Neural Network based Urban Growth Model of an Indian City”, J. Indian Soc. Remote Sens, 37, pp, 363-376, 2009
Mohammady, S., Delavar, M., Pijanowski, B., “Urban Growth Modeling With Artificial Neural Network and Logistic Reression, Case Study: Sanadaj City, Iran”, Romanian Review of Reginal Study, Volume IX, Number 2, pp ,47-60, 2013
Micheletti, N., Foresti, L., Robert, S. et al. Math Geosci .,"Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping", International Association for Mathematical Geosciences ,46(1), pp, 33-57, 2014
Maleki, D., “Modeling urban development using cellular automata", Thesis, Masters, Spatial information systems, Nasir al-Din al-Tusi University, 2010. [in Persian]
Ozturk, D., "Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models", Remote Sens, 7, pp, 5918-5950, 2015
Pradhan, B., Lee, S., "Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling", Environ Model Softw 25, pp, 747–759, 2010
Park, S., Jeonb, S., Kim, S., Choi, C., "Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea", Landscape and Urban Planning 99, 2011
Pham, M., Yamaghaguchi, Y., Quang-Buli, T., "A case study on the relation between city planning and urban growth using remote sensing and spatial metrics", Landscape and Urban Planning, 100, pp, 223-230, 2011
Hu, X., Weng, Q., “Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks”, Remote Sensing of Environment, 113, pp, 2089-2012, 2009
https://www.unfpa.org/publications/state-world-population-2007
Rienow, A., Goetzke, R., "Supporting sleuth—Enhancing a cellular automaton with support vector machines for urban growth modeling", Computers, Environ. Urban Syst, 49, pp, 66–81, 2015
Schneider, A., Friedl, M.A., Potere, D., "Mapping global urban areas using MODIS 500-m data: new methods and datasets based on ‘urban ecoregions", Remote Sensing of Environment, 114, pp, 1733–1746, 2010
Shafizadeh-Moghadam, H., Helbich, M., "Spatiotemporal urbanization processes in the megacity of Mumbai, India: a Markov chains-cellular automata urban growth model", Applied Geography, 40, pp, 140-149, 2013
Shafizadeh-Moghadam, H., Asghari, A., Tayyebi, A., Taleai, M., “Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth”, Computers, Environment and Urban Systems, 64, pp, 297-308, 2017
Sunar, E., Özkan, C., "Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities", Remote Sensing Reviews, 13, 207–234, 2010
Sun, C., Zhi-feng, W., Lv, Z., Yao, Na., Wei, J., “Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data”, Int.Applied Earth Observation Geoinformation, 21, pp, 409–417, 2013
Sabet Sarvestani, M., “Application of measurement of incidence in measuring and predicting the expansion of Shiraz”, Geomatics National Conference, 2010. [in Persian]
Shamsoddini, A., Esmaeili, Sh., “Medium Spatial Resolution Image Classification Based on Spatial and Thermal Indices”, Remote Sensing & GIs Iran, Vol(9), No(2), pp, 117-122, 2017. [In Persian]
Triantakonstantis, D., Stathakis, D., “Urban Growth Prediction in Athens, Greece, Using Artificial Neural Networks”, World Academy of Science, Engineering and Technology International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering, 9(3), 2015
Tzeng, Y. C., Chen, K. S., Kao, W. L., Fung, A. K., “A dynamic learning neural network for remote sensing applications”, IEEE Transactions on Geoscience and Remote Sensing, 32(5), pp, 1096−1102, 1994
Traore, A., Watanabe, T., “Modeling Determinants of Urban Growth in Conakry, Guinea: A Spatial Logistic Approach”, Urban Science, 1(2), 12, 2017
Waibel, M., "Drawn and quartered–Hanoi’s ancient Centre is feeling the pressure from outside and in, so what can architect and officials do to stop the rot?", Vietnam Econ. Times, pp, 24–25, 1995
Waske, B., Linden, S.V.D., Benediktsson, J.A., Rabe, A., Hostert, P., "Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data", IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 48(7), JULY 2010
Yetgin Z., "Unsupervised change detection of satellite images using local gradual descent", IEEE Trans Geosci Remote Sens, 50(5), pp, 1919–1929, 2012
Zhao Y., Murayama Y., "Urban dynamics analysis using spatial metrics geosimulation", Spatial analysis and modeling in geographical transformation process. Berlin: Springer, pp, 153–167, 2011