Abstract
A fuzzy ARTMAP classifier is adopted for a classification experiment of CBERS-2 imagery. The fundamental theory and processing about the algorithm are first introduced, followed with a land-use classification experiment in Shihezi County on CBERS-2 high resolution imagery. Three classifiers are compared: maximum likelihood classifier (MLC), error back propagation (BP) classifier, and fuzzy ARTMAP classifier. The comparison shows comparably better results for the fuzzy ARTMAP classifier, with overall classification accuracy of 9.9% and 4.6% higher than that of MLC and BP. The results also prove that the fuzzy ARTMAP classifier has better discernment in identifying bare soil on CBERS-2 imagery.
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References
Strahler A, Muchoney D, Borak J, et al. (1999)MODIS land cover product algorithm theoretical basis document(ATBD), Version 5.0 [R]. Boston University Center for Remote Sensing, Boston, MA
Rumelhart D E(1986)Learning representations by back-propagating errors [J]. Nature, 323: 533–536
Kavzoglu T, Mather P M(1999)Pruning artificial neural networks: an example using land cover classification of multi-sensor images [J]. International Journal of Remote Sensing, 20: 2 787–2 803
Carpenter G A, Grossberg S, Markuzon N, et al.(1992) Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps[J]. IEEE Transactions on Neural Networks, 3: 698–713
Gopal S, Sklarew D M, Lambin E(1994)Fuzzy-neural networks in multitemporal classification of land cover change in the Sahel [R]. Office for Official Publications of the European Communities, Luxembourg
Fischer M M, Gopal S, Staufer P, et al.(1997) Evaluation of neural pattern classifiers for a remote sensing application [J]. Geographical Systems, 4(2): 195–226
Carpenter G A, Grossberg S, Rosen D B(1991)Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system [J]. Neural Networks, (4):759–771
Markham B L, Barker J L(1987)Thematic mapper bandpass solar exoatmospheric irradiances [J]. International Journal of Remote Sensing, 1987, 8:513–523
Roserick M, Smith R, Lodwick G(1996)Calibration long-term AVHRR-derived NDVI imagery [J]. Remote sensing of Environment, 58: 1–12
Zhao Yingshi(2003)Principle and methodology of remote sensing applications and analysis [M]. Beijing: Science Press (in Chinese)
Fitzgerald R W, Lee B G(1994) Assessing the classification accuracy of multisource remote sensing data [J]. Remote sensing of Environment, 47: 362–368
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Supported by the National Social Development Research Program of China (No.2004DE100625).
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Luo, C., Liu, Z. & Yan, Q. Classification of CBERS-2 imagery with fuzzy ARTMAP classifier. Geo-spat. Inf. Sc. 10, 124–127 (2007). https://doi.org/10.1007/s11806-007-0043-y
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DOI: https://doi.org/10.1007/s11806-007-0043-y