589
Views
54
CrossRef citations to date
0
Altmetric
Original Articles

Unsupervised remote sensing image classification using an artificial immune network

, &
Pages 5461-5483 | Received 16 Feb 2008, Accepted 28 Sep 2009, Published online: 11 Aug 2011

References

  • Bagan , H. , Wang , Q. , Watanabe , M. , Yang , Y. and Ma , J. 2005 . Land cover classification from MODIS EVI times-series data using SOM neural network . International Journal of Remote Sensing , 26 : 4999 – 5012 .
  • Bandyopadhyay , S. , Maulik , U. and Mukhopadhyay , A. 2007 . Multiobjective genetic clustering for pixel classification in remote sensing imagery . IEEE Transactions on Geoscience and Remote Sensing , 45 : 1506 – 1511 .
  • Campbell , J.B. 2000 . Introduction to Remote Sensing , London : Taylor & Francis .
  • Campelo , F. , Guimaraes , F.G. , Igarashi , H. , Ramirez , J.A. and Noguchi , S. 2006 . A modified immune network algorithm for multimodal electromagnetic problems . IEEE Transactions on Magnetics , 42 : 1111 – 1114 .
  • Coelho , G.P. and Von Zuben , F.J. omni-aiNet: an immune-inspired approach for omni optimization . Proceedings of ICARIS (International Conference on Artificial Immune Systems) . September 4–6 2006 , Oeiras, Portugal. pp. 294 – 308 . Heidelberg : Springer-Verlag .
  • Dasgupta , D. 1999 . Artificial Immune Systems and their Applications , Berlin : Springer-Verlag .
  • De Castro , L.N. and Timmis , J. 2002a . Artificial Immune Systems: a New Computational Intelligence Approach , London : Springer-Verlag .
  • De Castro , L.N. and Timmis , J. Convergence and hierarchy of aiNet: basic ideas and preliminary results . Proceedings of ICARIS (International Conference on Artificial Immune Systems) . September 9–11 2002 . pp. 231 – 240 . UK : University of Kent at Canterbury .
  • De Castro , L.N. and Timmis , J. An artificial immune network for multimodal function optimization . Proceedings of the IEEE Congress on Evolutionary Computation (CEC’02) . May 2002 , Hawaii. Vol. 1 , pp. 699 – 674 .
  • De Castro , L.N. and Von Zuben , F.J. An evolutionary immune network for data clustering . Proceedings of the IEEE SBRN (Brazilian Symposium on Artificial Neural Networks) . November 22–25 2000 , Rio de Janeiro, Brazil. pp. 84 – 89 .
  • De Castro , L.N. and Von Zuben , F.J. 2001 . “ aiNet: an artificial immune network for data analysis ” . In Data Mining: a Heuristic Approach , Edited by: Abbass , H.A. , Sarker , R.A. and Newton , C.S. 231 – 259 . Hershey, PA : Idea Group .
  • De Castro , L.N. and Von Zuben , F.J. 2002 . Automatic determination of radial basis function: an immunity-based approach . International Journal of Neural Systems , 11 : 523 – 535 .
  • De Franca , F.O. , Von Zuben , F.J. and De Castro , L.N. An artificial immune network for multimodal function optimization on dynamic environments . Proceedings of the 2005 Conference on Genetic and Evolutionary Computation (GECCO’05) . June 25–29 2005 , Washington, DC. pp. 289 – 296 . New York : ACM Press .
  • Duda , R.O. , Hart , P.E. and Stork , D.G. 2001 . Pattern Classification , 2nd , New York : Wiley .
  • Galeano , J. , Veloza , A. and González , F. A comparative analysis of artificial immune network models . Proceedings of the 2005 Conference on Genetic and Evolutionary Computation (GECCO’05) . June 25–29 2005 , Washington, DC. pp. 361 – 368 . New York : ACM Press .
  • Gomes , L.C.T. , De Sousa , J.S. , Bezerra , G.B. , De Castro , L.N. and Von Zuben , F.J. 2003 . Copt-aiNet and the gene ordering problem . Information Technology Magazine , 3 : 27 – 33 .
  • Hall , D. and Ball , G. 1965 . ISODATA: a novel method of data analysis and pattern classification , Menlo Park, CA : Technical report, Stanford Research Institute .
  • Jensen , J.R. 2005 . Introductory Digital Image Processing, a Remote Sensing Perspective , 3rd , Upper Saddle River, NJ : Prentice Hall .
  • Jerne , N.K. 1973 . The immune system . Scientific American , 229 : 51 – 60 .
  • Jerne , N.K. 1974 . Towards a network theory of the immune system . Annual Immunology , 125c : 51 – 60 .
  • Katsavounidis , I. 1994 . A new initialization technique for generalized Lloyd iteration . IEEE Signal Processing Letters , 1 : 144 – 146 .
  • Kruse , F.A. , Lefkoff , A.B. , Boardman , J.B. , Heidebrecht , K.B. , Shapiro , A.T. , Barloon , P.J. and Goetz , A.F.H. 1993 . The spectral image processing systems (SIPS) – interactive visualization and analysis of imaging spectrometer data . Remote Sensing of Environment , 44 : 145 – 163 .
  • Liu , L. and Xu , W. UOFC-AINet: a fuzzy immune network for unsupervised optimal clustering . International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce . December 28 November–1 2006 , Sydney, Australia. pp. 196 – 196 . Pisctaway, NJ : IEEE Computer Society .
  • Pal , M. 2008 . Artificial immune-based supervised classifier for land-cover classification . International Journal of Remote Sensing , 29 : 2273 – 2291 .
  • Pal , N.P. and Bezdek , J.C. 1995 . On cluster validity for the fuzzy c-means model . IEEE Transactions on Fuzzy Systems , 3 : 370 – 379 .
  • Pasti , R. and De Castro , L.N. An immune and a gradient-based method to train multi-layer perceptron neural networks . Proceeding of the 2006 IEEE International Joint Conference on Neural Networks . July 6–21 2006 , Vancouver, BC, Canada. pp. 2075 – 2082 .
  • Perelson , A.S. 1989 . Immune network theory . Immunological Review , 110 : 5 – 36 .
  • Storvik , G. , Fjortoft , R. and Solberg , A.H.S. 2005 . A bayesian approach to classification of multiresolution remote sensing data . IEEE Transactions on Geoscience and Remote Sensing , 43 : 539 – 547 .
  • Tadjudin , S. and Landgrebe , D.A. 2000 . Robust parameter estimation for mixture model . IEEE Transactions on Geoscience and Remote Sensing , 38 : 439 – 435 .
  • Timmis , J. and Edmonds , C. A comment on opt-AiNet: an immune network algorithm for optimisation . Proceedings of the 2004 Conference on Genetic and Evolutionary Computation (GECCO’04) . June 24–26 2004 , Seattle, WA. Edited by: Kalyanmoy , D. pp. 308 – 317 . Heidelberg : Springer-Verlag . Lecture Notes in Computer Science 3102
  • Xie , X.L and Beni , G. 1991 . A validity measure for fuzzy clustering . IEEE Transactions on Pattern Analysis and Machine Intelligence , 13 : 841 – 847 .
  • Yamazaki , T. and Gingras , D. 1999 . Unsupervised multispectral image classification using MRF models and VQ method . IEEE Transactions on Geoscience and Remote Sensing , 37 : 1173 – 1176 .
  • Zhang , L. , Zhong , Y. , Huang , B. and Li , P. 2007 . A resouce limited artificial immune algorithm for supervised classification of multi/hyper-spectral remote sensing image . Internal Journal of Remote Sensing , 28 : 1665 – 1686 .
  • Zhao , X. , Gao , X.S. and Hu , Z.C. 2007 . Evolutionary programming based on non-uniform mutation . Applied Mathematics and Computation , 192 : 1 – 11 .
  • Zhong , Y. , Zhang , L. , Gong , J. and Li , P. 2007 . A supervised artificial immune classifier for remote sensing imagery . IEEE Transactions on Geoscience and Remote Sensing , 45 : 3957 – 3966 .
  • Zhong , Y. , Zhang , L. , Huang , B. and Li , P. 2006 . An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery . IEEE Transactions on Geoscience and Remote Sensing , 44 : 420 – 431 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.