The impact of data compression and neighborhood information on the classification accuracy of artificial neural networks

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 33, Issue , 2000, Pages 140-147

  Barsi, Árpád ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Neural networks; Principal component analysis; Thematic classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA COMPRESSION; MAPPING; MAPS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; REMOTE SENSING;

CLASSIFICATION ACCURACY; CLASSIFICATION PROCEDURE; DATA COMPRESSION TECHNIQUES; KARHUNEN LOEVE TRANSFORMATION; MULTI-SPECTRAL IMAGERY; NEIGHBORHOOD INFORMATION; SIMULATION ALGORITHMS; THEMATIC CLASSIFICATION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84455196072     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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6. Paola, J.D., Schowengerdt, R.A., 1995. A detailed comparison of backpropagation neural network and maximum likelihood classifiers for urban land use classification, TGARS, Vol. 33, No. 4, pp. 981-996
7. Rojas R., 1993. Theorie der neuronalen Netze - Eine systematische Einführung, Springer Verlag, Berlin