Land cover classification of IKONOS multispectral satellite data: Neuro-fuzzy, neural network and maximum likelihood methods

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3642 LNAI, Issue , 2005, Pages 251-262

  Han, JongGyu ^a   Chi, KwangHoon ^a   Yeon, YeonKwang ^a  

^a Korea Institute of Geosceince and Mineral Resources   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); ERROR ANALYSIS; FUZZY CONTROL; INFORMATION RETRIEVAL; NEURAL NETWORKS; STATISTICAL METHODS;

IKONOS MULTISPECTRAL SATELLITE DATA; NEURO-FUZZY MODELS; SATELLITE IMAGE DATA; THREE-LAYER FUZZY PERCEPTRONS;

SATELLITE COMMUNICATION SYSTEMS;

EID: 33645982246     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11548706_27     Document Type: Conference Paper

References (13)

1. Benediktsson, J. A., Swain, P. H. and Ersoy, O. K.: Conjugate-gradient Neural Networks in Classification of Multisource and Very-high-dimensional Remote Sensing Data. Int. J. of Remote Sensing 14 (1993) 2883-2903
2. Gopal, S., Sklarew, D. M. and Lambin, E.: Fuzzy-neural Networks in Multi-temporal Classification of Land-cover Change in the Sahel. Proc. of the DOSES Work-shop on New Tools for Spatial Analysis (1994) 55-68
3. Gopal, S., Woodcock, C., Strahler, A.: Fuzzy Neural Network Classification of Global Land Cover from a AVHRR Data Set. Remote Sensing of Environment 67 (1999) 230-243
4. Halgamuge, S. K., Glesner, M.: Neural Networks in Designing Fuzzy Systems for Real World Applications. Fuzzy Sets and Systems 65 (1994) 1-12
5. Hara, Y., Atkins, R. G., Yueh, S. H., Shin, R. T. and Kong, J. A.:Application of Neural Networks to Radar Image Classification. IEEE Tran. on Geosci. and Remote Sensing 32 (1994) 100-111
6. Lee, J., Weger, W. C., Sengupta, S. K., Welch, R. M.: Neural Network Approach to Cloud Classification. IEEE Tran. on Geoscience and Remote Sensing 28 (1990) 846-855
7. Mather, P. M.: Computer Processing of Remotely Sensed Images. Chichester, Wiley (1997)
8. Peddle, D. R.: Empirical Comparison of Evidential Reasoning, Linear Discriminant Analysis and Maximum Likelihood Algorithms for Land Cover Classification. Canadian Journal of Remote Sensing 19 (1993) 31-44
9. Tzeng, Y. C., Chen, K. S., Kao, W. L., Fung, A. K.: Dynamic Learning Neural Network for Remote Sensing Applications. IEEE Tran. on Geoscience and Remote Sensing 32 (1994) 1096-1103
10. Yoshida, T., Omatu, S.: Neural Network Applications to Land-cover Mapping. IEEE Tran. on Geoscience and Remote Sensing 32 (1994) 1103-1109
11. Roger, R. E.: Sparse Inverse Covariance Matrices and Efficient Maximum Likelihood Classification of Hyperspectral Data. Int. J. Remote Sensing 17 (1996) 589-613
12. Wasserman, P. D.: Neural Computing, Theory and Practice. New York: Vain Nostrand Reinhold (1989)
13. Rumelhart, D.E., Hinton, G. E., Williams, R. J.: Learning Internal Representations by Error Propagation. Parallel Distributed Processing, Cambridge, MA: MIT Press (1986) 318-362