References

Ahmadi, A.F.S. and A.S. Hames, 2009. Comparison of four classification methods to extract land use and land cover from raw satellite images for some remote arid areas, kingdom of Saudi Arabia. Earth, 20: 167-191.
Direct Link  |  

Ari, C. and S. Aksoy, 2010. Unsupervised classification of remotely sensed images using gaussian mixture models and particle swarm optimization. Proceedings of the 2010 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), July 25-30, 2010, IEEE, Honolulu, Hawaii, ISBN: 978-1-4244-9565-8, pp: 1859-1862.

Bachmann, C.M., T.L. Ainsworth and R.A. Fusina, 2005. Exploiting manifold geometry in hyperspectral imagery. IEEE Trans. Geosci. Remote Sens., 43: 441-454.
CrossRef  |  

Bagirov, A.M., A.M. Rubinov, N.V. Soukhoroukova and J. Yearwood, 2003. Unsupervised and supervised data classification via nonsmooth and global optimization. Top, 11: 1-75.
CrossRef  |  Direct Link  |  

Dean, A.M. and G.M. Smith, 2003. An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities. Int. J. Remote Sens., 24: 2905-2920.
Direct Link  |  

Domadia, G.S., M.A. Ardeshana and S.D. Bhatt, 2014. Advances in em (expectation-maximization) algorithm for image classification as per cost and accuracy. Int. J. Res. Comput. Commun. Technol., 3: 065-069.

Guerra, L., L.M. McGarry, V. Robles, C. Bielza, P. Larranaga and R. Yuste, 2011. Comparison between supervised and unsupervised classifications of neuronal cell types: A case study. Dev. Neurobiol., 71: 71-82.
CrossRef  |  

Kamavisdar, P., S. Saluja and S. Agrawal, 2013. A survey on image classification approaches and techniques. Int. J. Adv. Res. Comput. Communi. Eng., 2: 1005-1009.
Direct Link  |  

Leigh, S., Z. Wang and D.A. Clausi, 2014. Automated ice-water classification using dual polarization SAR satellite imagery. IEEE. Trans. Geosci. Remote Sens., 52: 5529-5539.
CrossRef  |  Direct Link  |  

Onsi, M.E. and O. Hoda, 2012. Spatial cloud detection and retrieval system for satellite images. Int. J. Adv. Comput. Sci. Appl., 3: 212-217.

Palaniswami, C., A.K. Upadhyay and H.P. Maheswarappa, 2006. Spectral mixture analysis for subpixel classification of coconut. Curr. Sci. Bangalore, 91: 1706-1711.
Direct Link  |  

Perumal, K. and R. Bhaskaran, 2010. Supervised classification performance of multispectral images. J. Comp., 2: 124-129.
Direct Link  |  

Petcu, D., S. Panica and A. Eckstein, 2007. Satellite image processing on computational Grids. Proceedings of the 9th WSEAS International Conference on Automatic Control, Modeling and Simulation, May 27-29, 2007, WSEAS, Istanbul, Turkey, pp: 216-221.

Poggi, G., G. Scarpa and J.B. Zerubia, 2005. Supervised segmentation of remote sensing images based on a tree-structured MRF model. IEEE. Trans. Geosci. Remote Sens., 43: 1901-1911.
CrossRef  |  Direct Link  |  

Tang, H., L. Shen, Y. Qi, Y. Chen and Y. Shu et al., 2013. A multiscale latent dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images. IEEE. Trans. Geosci. Remote Sens., 51: 1680-1692.
CrossRef  |  Direct Link  |  

Wang, J., 2014. The raster image splicing of using oracle spatial technology to research the georaster data. Indonesian J. Electr. Eng. Comput. Sci., 12: 872-878.
Direct Link  |  

Yang, J., Y. Li, J. Xi, C. Li and F. Xie, 2014. Study on semantic contrast evaluation based on vector and raster data patch generalization. Abstract Appl. Anal., Vol. 2014,

Yang, M.C., W.K. Moon, Y.C.F. Wang, M.S. Bae and C.S. Huang et al., 2013. Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis. IEEE. Trans. Med. Imag., 32: 2262-2273.
CrossRef  |  Direct Link  |