References
[1]. Kevin Tansey, Ian Chambers, Andrew Anstee, Anthony Denniss and Alistair Lamb. (2009). "Object-oriented classification of very high resolution airborne imagery for the extraction of hedgerows and field margin cover in agricultural areas", Applied Geography, Vol. 29, No. 2, pp. 145-157.
[2]. James A., Shine and Daniel B., Carr. (2002). "A Comparison of Classification Methods for Large Imagery Data Sets", JSM 2002 Statistics in an ERA of Technological Change-Statistical computing section, New York City, pp. 3205-3207.
[3]. Govender, M., Chetty, K., Naiken, V., and Bulcock, H. (2008). "A comparison of satellite hyperspectral and multispectral remote sensing imagery for improved classification and mapping of vegetation", Water SA, Vol. 34, No. 2, pp. 147-154.
[4]. Argialas, D., and C. Harlow. (1990). “Computational Image Interpretation Models: An Overview and a Perspective” Photogrammetric Engineering and Remote Sensing, Vol. 56, No 6, June, pp. 871-886.
[5]. Balazs Dezso, Istvan Fekete, David Gera, Roberto Giachetta and Istvan Laszlo, (2012). "Object-Based Image Analysis In Remote Sensing Applications Using Various Segmentation Techniques", Annales Univ. Sci. Budapest., Sect. Comp. 37 103–120.
[6]. J. Osman, J. Inglada and E. Christophe. "Interactive Object Segmentation in High Resolution Satellite”.
[7]. De Moraes R.M. (2004). “An Analysis of The Fuzzy Expert Systems Architecture For Multispectral Image Classification Using Mathematical Morphology Operators”, International Journal of Computational Cognition, Vol. 2, No. 2, pp. 35–69, June.
[8]. Smits P.C., & A. Annoni. (1999). “Towards operational knowledge based remote-sensing image analysis”, Pattern Recognition Letters, Vol. 20, pp. 1415 1422.
[9]. Angelos Tzotsos and D. Argialas. (2008). “A Support Vector Machine Approach For Object Based Image Analysis”, Lecture Notes in Geoinformation and Cartography, pp. 663-677.
[10]. Ashwini T. Sapkal, Chandraprakash Bokhare and N. Z. Tarapore. (2006). “Satellite Image Classification using the Back Propagation Algorithm of Artificial Neural Network”.
[11]. Sonka M., Hlavac V. and Boyle R. (1999). “Image processing, Analysis and Machine Vision”, Second Edition, Brooks/Cole Publishing Company.
[12]. Roger Trias-Sanza, Georges Stamon and Jean Louchet. (2008). "Using colour, texture, and hierarchial segmentation for high-resolution remote sensing ", ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 63, No. 2, pp. 156-168.
[13]. Trias-Sanz, R. (2005). "A metric for evaluating and comparing hierarchical and multi-scale image segmentations", in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, (IGARSS 05), Vol. 8, pp. 5647-5650.
[14]. Burnett C., and Thomas Blaschke. (2003). "A multi-scale segmentation/object relationship modelling methodology for landscape analysis", Ecological Modelling (Landscape Theory and Landscape Modelling), Vol. 168, No. 3, pp. 233-249.
[15]. PCI Enterprises Inc., (1997). "SAR Radiometric Correction", Radar Soft Course notes. pp. 80-91.
[16]. Young, S. S., and Wang, C. Y. (2001). "Land-cover change analysis of China using global-scale Pathfinder AVHRR Landcover (PAL) data", International Journal of Remote Sensing, Vol. 22, No. 8, pp. 1457-1477.
[17]. Lillesand, T. M., and Kiefer, R. W. (1994). “Remote Sensing and Image Linter Predation”, John Wiley and Sons Press.
[18]. Tso B., and Mather P. M. (2001). "Classification Methods for Remotely Sensed Data", Taylor and Francis, London.
[19]. Chang C. I. (2001). "Hyperspectral Imaging: Techniques for Spectral Detection and classification", Kluwer Academic Publishers.
[20]. Varshney, P. K., and Arora, M. K. (2004). "Advanced Image Processing Techniques for Remote Sensed Hyperspectral Data", Springer-Verlag, Germany.
[21]. Lu, D., and Weng, Q. (2007). "A survey of image classification methods and techniques for improving classification performance", International Journal of Remote Sensing, Vol. 28, No. 5, pp. 823-870.
[22]. Jasinski, M. F., (1996). "Estimation of subpixel vegetation density of natural regions using satellite multispectral imagery", IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, pp. 804-813.
[23]. Landgrebe, D. (2003). “Signal Theory Methods in Multispectral Remote Sensing” John Wiley and Sons, Hoboken, NJ.
[24]. Haralick R. M., Shanmugam K., and Dinstein, I., (1973). "Texture features for image classification", IEEE Transactions on Systems, Man and Cybernetics, Vol. 8, No. 6, pp. 610-621.
[25]. Tuominen, S., Pekkarinen, A. (2005). "Performance of different spectral and textural aerial photograph features in multi-source forest inventory", Remote Sensing of Environment, Vol. 94, No. 2, pp. 256-268.
[26]. Gidudu Anthony, Hulley Gregg, and Marwala Tshilidzi, (2008). “An Svm Multiclassifier Approach to Land Cover Mapping ”, In Proceedings of ASPRS Annual Conference.
[27]. D Chutia and DK Bhattacharyya. (2010). “Extraction Of Linear Features From High Resolution Indian Satellite Imageries, (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 04, pp.1223-1227.
[28]. Alberto Fernándeza, María José del Jesusb, and Francisco Herreraa. (2009). 'Hierarchical fuzzyrule based classification systems with genetic rule selection for imbalanced data-sets", International Journal of Approximate Reasoning, Vol. 50, No.3, pp.561–577.
[29]. Yousefi, Mirhassani S.M., Hosseini M.M., and Rastegar Fatemi M.J. (2011). “A novel fuzzy based method for 3D buildings modeling in urban satellite imagery", In Proceedings of IEEE Conference on Open Systems (ICOS), pp.190-195.
[30]. So-Ra Kim, Woo-Kyun Lee, Doo-Ahn Kwak, Greg S. Biging, Peng Gong, Jun-Hak Lee and Hyun-Kook Cho. (2011). "Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery", Sensors, Vo1-11, No. 2, pp. 1943-1958.
[31]. Zhao Meng and Bai Xiao. (2011). "High-resolution satellite image classification and segmentation using Laplacian graph energy", In Proceeding of IEEE International Geoscience and Remote Sensing Symposium, pp. 605-608.
[32]. R. Gaetano, J. Zerubia, G. Scarpaand G. Poggi, (2011). "Morphological road segmentation in urban areas from high resolution satellite images", In Proceeding of 17th International Conference on Digital Signal Processing (DSP), pp. 1-8.
[33]. Liang Hong and Kun Yang. (2011). "A novel segmentation method of high resolution remote sensing image based on multi-feature object-oriented Markov random fields model", In Proceeding of International Conference on Remote Sensing, Environment and Transportation Engineering, pp. 8019-8024.
[34]. George H. John and Pat Langley. (1995). “Estimating Continuous Distributions in Bayesian Classifiers,” Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence. pp. 338-345. Morgan Kaufmann, San Mateo.
