A neural network based classification of satellite images for change detection applications

References

• Bahirat, K. , Bovolo, F. , Bruzzone, L. , & Chaudhuri, S. (2012, July). A novel domain adaptation Bayesian classifier for updating land-cover maps with class differences in source and target domains. IEEE Transactions on Geoscience and Remote Sensing , 50(7), 2810–2826. doi:10.1109/TGRS.2011.2174154
   Web of Science ®Google Scholar
• Bruzzone, L. , & Cossu, R. (2002, September). A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps. IEEE Transactions on Geoscience and Remote Sensing , 40(9), 1984–1996. doi:10.1109/TGRS.2002.803794
   Web of Science ®Google Scholar
• Bruzzone, L. , & Prieto, D. F. (2001, February). Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images. IEEE Transactions on Geoscience and Remote Sensing , 39(2), 456–460. doi:10.1109/36.905255
   Web of Science ®Google Scholar
• Celik, T. (2010, Apr). Change detection in satellite images using a genetic algorithm approach. IEEE Geoscience and Remote Sensing Letters , 7(2), 386–390. doi:10.1109/LGRS.2009.2037024
   Web of Science ®Google Scholar
• Chang, C. C. , & Lin, C. J. (2011). LIBSVM: A library for support vector machines. ACM Transactions Intelligent Systems Technological , 2(3), 27. doi:10.1145/1961189.1961199
   Web of Science ®Google Scholar
• De Morsier, F. , Tuia, D. , Borgeaud, M. , Gass, V. , & Thiran, J.-P. (2013, April). Semisupervised novelty detection using SVM entire solution path. IEEE Transactions on Geoscience and Remote Sensing , 51(4), 1939–1950. doi:10.1109/TGRS.2012.2236683
   Web of Science ®Google Scholar
• Doroodgar, B. , Liu, Y. , & Nejat, G. (2014, December). A learning-based semi-autonomous controller for robotic exploration of unknown disaster scenes while searching for victims. IEEE Transactions on Cybernetics , 44(12), 2719–2732. doi:10.1109/TCYB.2014.2314294
   PubMed Web of Science ®Google Scholar
• Epstein, J. , Payne, K. , & Kramer, E. (2009). Techniques for mapping suburban sprawl. Photogrammetric Engineering and Remote Sensing , 63(9), 913–918.
   Google Scholar
• Hemissi, S. , Farah, I. R. , Ettabaa, K. , & Solaiman, B. (2013, January). Multi-spectrotemporal analysis of hyperspectral imagery based on 3-D spectral modeling and multilinear algebra. IEEE Transactions on Geoscience and Remote Sensing , 51(1), 199–216. doi:10.1109/TGRS.2012.2200486
   Web of Science ®Google Scholar
• Li, H. , Xiao, G. , Xia, T. , Tang, Y. Y. , & Li, L. (2014, September). Hyperspectral image classification using functional data analysis. IEEE Transactions on Cybernetics , 44(9), 1544–1555. doi:10.1109/TCYB.2013.2289331
   PubMed Web of Science ®Google Scholar
• Lillesand, T. M. , & Kiefer, R. W. (2000). Remote sensing and image interpretation (4th ed.). New York, NY: Willey.
   Google Scholar
• Murali Mohan Babu, Y. , & Radhika, K. (2016, May). RISAT-1 image despeckling using a modified un-decimated BM3D technique. International Journal of Image, Graphics and Signal Processing , 5(1), 52–60.
   Google Scholar
• Murali Mohan Babu, Y. , Subramanyam, M. V. , & Giriprasad, M. N. (2015, February). Fusion and texture based classification of indian microwave data - A comparative study. International Journal of Applied Engineering Research , 10(1), 1003–1010.
   Google Scholar
• Radhika, K. , & Varadarajan, S. (2015, August). A tutorial on classification of remote sensing data. International Research Journal of Engineering and Technology , 3(8), 881–885.
   Google Scholar
• Rizvi, I. A. , & Mohan, B. K. (2011, December). Object-based image analysis of high- resolution satellite images using modified cloud basis function neural net- work and probabilistic relaxation labeling process. IEEE Transactions on Geoscience and Remote Sensing , 49(12), 4815–4820. doi:10.1109/TGRS.2011.2171695
   Web of Science ®Google Scholar
• Stanistaw, L. (2006). Object-oriented classification of landsat ETM+ satellite image. Journal of Water and Land Development , 20(10), 91–106.
   Google Scholar
• Zhong, Y. , & Zhang, L. (2012, October). Remote sensing image subpixel mapping based on adaptive differential evolution. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) , 42(5), 1306–1329. doi:10.1109/TSMCB.2012.2189561
   PubMed Web of Science ®Google Scholar