Biogeography and geo-sciences based land cover feature extraction

Applied Soft Computing Journal

Volumn 13, Issue 10, 2013, Pages 4194-4208

  Goel, Lavika ^a   Gupta, Daya ^a   Panchal, V K ^b  

^a DELHI TECHNOLOGICAL UNIVERSITY   (India)

^b Ministry of Defence   (India)

Author keywords

Biogeography; Entropy; Geo sciences; Remote sensing

Indexed keywords

ECOLOGY; ENTROPY; EXTRACTION; FEATURE EXTRACTION; PATTERN RECOGNITION; REMOTE SENSING; SOFT COMPUTING; SPECTROSCOPY;

BIOGEOGRAPHY; CLASSIFICATION EFFICIENCY; FEATURE EXTRACTION ALGORITHMS; GEO-SCIENCES; HABITAT SUITABILITY INDEX; INTELLIGENT CLASSIFIERS; PROBABILISTIC CLASSIFIERS; SOFTCOMPUTING TECHNIQUES;

FACE RECOGNITION;

EID: 84885310392     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.06.015     Document Type: Article

References (48)

1. A. Accad, D.T. Neil, Lowland rainforest structural vegetation communities of Northeastern Australia: spatial response to predicted climate change, in: Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia, 2009, pp. 2028-2034.
2. E. Alpaydin, Introduction to Machine Learning, MIT Press, United States of America, 2004.
3. T. Back, Evolutionary Algorithms in Theory and Practice, Oxford Univ. Press, Oxford, UK, 1996.
4. S. Bansal, D. Gupta, V.K. Panchal, S. Kumar, Swarm Intelligence Inspired Classifiers in Comparison with Fuzzy and Rough Classifiers: A Remote Sensing Approach, Contemporary Computing, Communications in Computer and Information Science, vol. 40, Springer, USA, 2009.
5. H. Beyer, The Theory of Evolution Strategies, Springer, New York, 2001.
6. A. Bhattacharya, P.P. Chattopadhyay, Application of biogeography-based optimization for solving multi-objective economic emission load dispatch problems, Electric Power Components and Systems 38 (3) (2010) 340-365.
7. J.C. Briggs, Biogeography & Plate Tectonics, Elsevier Publications, New York, 1987.
8. M. Clerc, Particle Swarm Optimization, ISTE Publishing, Amsterdam, The Netherlands, 2006.
9. D.J. Currie, Global Ecology and Biogeography, Blackwell Publishing Ltd., UK, 2012.
10. D. Dasgupta, Z. Michalewicz (Eds.), Evolutionary Algorithms in Engineering Applications, Springer, New York, 2001.
11. S.Z. Dobrowski, H.D. Safford, Y.B. Cheng, S.L. Ustin, Mapping mountain vegetation using species distribution modeling, image-based texture analysis, and object-based classification, Applied Vegetation Science 11 (4) (2008) 499-508.
12. M. Dorigo, L. Gambardella, M. Middendorf, T. Stutzle, Special section on 'ant colony optimization', IEEE Transactions on Evolutionary Computation 6 (4) (2002) 317-365.
13. M. Dorigo, T. Stutzle, Ant Colony Optimization, MIT Press, Cambridge, MA, 2004.
14. R. Eberhart, Y. Shi, J. Kennedy, Swarm Intelligence, Morgan Kaufmann, San Mateo, CA, 2001.
15. J. Franklin, Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients, Progress in Physical Geography 19 (4) (1995) 474-499. (Pubitemid 26442382)
16. L. Goel, Land cover feature extraction using hybrid swarm intelligence techniques-a remote sensing perspective, ACEEE International Journal on Signal & Image Processing 1 (3) (2010) 1-3.
17. L. Goel, V.K. Panchal, D. Gupta, Embedding expert knowledge to hybrid bioinspired techniques-an adaptive strategy towards focussed land cover feature extraction, International Journal of Computer Science and Information Security 8 (2) (2010) 244-253.
18. L. Goel, D. Gupta, V.K. Panchal, Biogeography and plate tectonics based optimization for water body extraction in satellite images, in: International Conference on Soft Computing and Pattern Recognition (SocProS), Advances in Soft Computing series of Springer, vol. 131, Springer, Roorkee, India, 2011, pp. 1-10.
19. L. Goel, D. Gupta, V.K. Panchal, Performance governing factors of BBO for land cover feature extraction: an analytical study, in: World Congress on Information and Communication Technologies (WICT), IEEE Publications, Mumbai, India, 2011, pp. 165-170.
20. L. Goel, D. Gupta, V.K. Panchal, Information sharing in swarm intelligence techniques: a perspective application for natural terrain feature elicitation, International Journal of Computer Applications 32 (2) (2011) 34-40.
21. L. Goel, D. Gupta, V.K. Panchal, Hybrid bio-inspired techniques for land cover feature extraction: a remote sensing perspective, Applied Soft Computing Journal of Elsevier Publications 12 (2) (2012) 832-849.
22. V.I. Gornyi, The mantle convection and the drift of Euro-Asian plate (according the remote geothermal method data), in: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 4, IEEE, St. Petersburg, Russia, 2002, pp. 2029-2035. (Pubitemid 35228522)
23. D. Gupta, B. Das, V.K. Panchal, A methodical study for the extraction of landscape traits using membrane computing technique, in: WORLDCOMP, Las Vegas, USA, 2011.
24. D. Gupta, L. Goel, Abhishek, An Efficient Biogeography Based Face Recognition Algorithm, in: 2nd International Conference on Advances in Computer Science and Engineering (CSE), Atlantis Press, Los Angeles, U.S.A., 2013, pp. 64-67.
25. N. Gupta, V.K. Panchal, Swarm Intelligence for mixed pixel resolution Computers & Simulations in Modern Science, vol. 5, WSEAS Press, USA, 2011, pp. 190-194.
26. S. Gupta, V.K. Panchal, S. Goel, Extended biogeography based optimization for natural terrain feature classification from satellite remote sensing images, Communications in Computer and Information Science (LNCS) 168 (2011) 262-269.
27. F. Kang, J. Li, Z. Ma, Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions, Information Sciences 181 (16) (2011) 3508-3531.
28. F. Kang, J. Li, Q. Xu, Damage detection based on improved particle swarm optimization using vibration data, Applied Soft Computing 12 (8) (2012) 2329-2335.
29. F. Kang, J. Li, H. Li, Artificial bee colony algorithm and pattern search hybridized for global optimization, Applied Soft Computing 13 (4) (2013) 1781-1791.
30. F. Kang, J. Li, Z. Ma, An artificial bee colony algorithm for locating the critical slip surface in slope stability analysis, Engineering Optimization 45 (2) (2013) 207-223.
31. N.K. Johal, S. Singh, H. Kundra, A hybrid FPAB/BBO algorithm for satellite image classification, International Journal of Computer Applications 6 (5) (2010) 31-36.
32. S. Kumar, D. Gupta, V.K. Panchal, S. Kumar, Enabling web services for classification of satellite images, in: International Conference on Semantic Web and Web Services (SWWS'09), Nevada, USA, 2009.
33. T.M. Lillesand, R. Kiefer, Remote Sensing and Image Interpretation, third ed., John Wiley, New York, 1993.
34. W. Long III, S. Srihann, Unsupervised and supervised classifications: land cover classification of SSC image: unsupervised and supervised classification using ERDAS Imagine, in: IGARSS'04 Proceedings, vol. 4, 2004, pp. 20-24.
35. L. Moresi, M. Gurnis, M. Shijie Zhong, Plate tectonics and convection in the earth's mantle: toward a numerical simulation, International Journal of Computing in Science and Engineering 2 (3) (2000) 22-23.
36. N.E. Zimmermann, T.C. Edwards Jr., C.H. Graham, P.B. Pearman, J.-C. Svenning, New trends in species distribution modelling, Ecography, Special issue on Species Distribution Modelling 33 (6) (2010) 985-989.
37. A. Øhrn, Komorowski, J. ROSSETA, A rough set tool kit for analysis of data, in: Proc. 3rd International Joint Conference on information Sciences, Durham, NC, 1997, pp. 403-407.
38. V.K. Panchal, P.C. Saxena, S. Deshmukh, Resolving spectrally similar landuse/landcover class conflict in remote sensing images using rough sets, in: IEEE Computer Society International Conference on Hybrid Information Technology (ICHIT), vol. 2, Korea, 2006, pp. 460-466. (Pubitemid 46604226)
39. V.K. Panchal, N. Singhal, S. Kumar, S. Bhakna, Rough-fuzzy sets tie-up for geospatial information, in: ISRO's International Conference on Emerging Scenario in Space Technology & Applications (ESSTA' 2008), vol. 1, Chennai, India, 2008.
40. V.K. Panchal, P. Singh, N. Kaur, H. Kundra, Biogeography based satellite image classification, International Journal of Computer Science and Information Security 6 (2) (2009) 269-274.
41. L. Pappula, Application of real coded genetic algorithm for target sensing, in: Sixth International Conference on Sensing Technology (ICST), Kolkata, India, 2012, pp. 69-72.
42. Z. Pawlak, Rough sets, International Journal of Computer and Information Science 11 (5) (1982) 341-356.
43. Z. Pawlak, Rough set theory and its applications to data analysis, Cybernetics and Systems 29 (7) (1998) 661-688. (Pubitemid 128591850)
44. D.R. Peddle, H. Peter White, R.J. Soffer, J.R. Miller, E.F. LeDrew, Reflectance processing of remote sensing spectroradiometer data, Computers & Geosciences 27 (2001) 203-213. (Pubitemid 32184062)
45. D. Simon, Biogeography based optimization, IEEE Transactions on Evolutionary Computation 12 (6) (2008) 702-713.
46. S. Sinha, A. Bhola, V.K. Panchal, S. Singhal, A. Abraham, Resolving mixed pixels by hybridization of biogeography based optimization and ant colony optimization, in: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, 2012, pp. 126-131.
47. Y. Li, B. Cheng, An improved k-nearest neighbor algorithm and its application to high resolution remote sensing image classification, in: 17th International Conference on Geoinformatics, IEEE, Beijing, China, 2009, pp. 1-4.
48. Z. Wei, Survey and analysis of land satellite remote sensing applied in highway transportations infrastructure and system engineering, in: IGARSS, vol. 4, IEEE, Boston, MA, 2008, pp. 479-482.