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Table of Contents
Remote Sensing Data Mining
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets have been developed. In this context, we show a new system for spatial data mining, presenting the operational environment named GeoDMA, developed to implement such approach.
Publications
- Pinho, C. M. D., Silva, F. C., Fonseca, L. M. G., Monteiro, A. M. V. Urban Land Cover Classification from High-Resolution Images Using the C4.5 Algorithm. XXI Congress of the International Society for Photogrammetry and Remote Sensing, Pequim, 2008.
- Korting, T.S. GeoDMA version 0.0.7 Manual.
- Korting, T.S., Fonseca, L.M.G., Escada, M.I.S., Silva, F.C., Silva, M.P.S. GeoDMA - A novel system for spatial data mining. Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on. Pisa, Italy. 2008.
- Korting, T.S., Fonseca, L.M.G., Escada, M.I.S., Câmara, G. GeoDMA - Um sistema para mineração de dados de sensoriamento remoto. Simpósio Brasileiro de Sensoriamento Remoto. Natal, RN, Brasil. 2009.
- Silva, M.P.S, Câmara, G. Escada, M.I.S., Souza, R.C.M. Remote Sensing Image Mining: Detecting Agents of Land Use Change in Tropical Forest Areas. International Journal of Remote Sensing, 2007.