Increased accuracy multiband urban classification using a neuro-fuzzy classifier

International Journal of Remote Sensing

Volumn 24, Issue 4, 2003, Pages 827-834

  Gamba, P ^a   Dell'Acqua, F ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY SETS; IMAGE PROCESSING; NEURAL NETWORKS; RADAR;

ADAPTIVE RESONANCE THEORY (ART);

REMOTE SENSING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLUSTER ANALYSIS; FUZZY MATHEMATICS; SPATIAL ANALYSIS; URBAN AREA;

EID: 0037455688     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160210154001     Document Type: Article

References (7)

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3. DELL'ACQUA, F., GAMBA, P., and HOUSHMAND, B., 1998, Recognition of urban structures in multiband data by means of ART networks. Proceedings of IGARSS 98 (New Jersey: IEEE Publications), Vol. 1, pp. 400-403.
4. GAMBA, P., and HOUSHMAND, B., 2001, An efficient neural classification chain for optical and SAR urban images. International Journal of Remote Sensing, 22, 1535-1553.
5. MANNAN, B., ROY, J., and RAY, K. A., 1998, Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images. International Journal of Remote Sensing, 19, 767-774.
6. PAOLA, J. D., and SCHOWENGERDT, R. A., 1995, A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classification. IEEE Transactions on Geoscience and Remote Sensing, 33, 981-996.
7. SILVA, S., and CAETANO, M., 1997, Using artificial recurrent neural nets to identify spectral and spatial patterns for satellite imagery classification of urban areas. In Neuro-computation in Remote Sensing Data Analysis, edited by I. Kanellopoulos et al. (Berlin: Springer), pp. 151-159.