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Multilayer Perceptron for analyzing satellite data | ||
| Iraqi Journal of Physics | ||
| Article 1, Volume 9, Issue 16, 2011, Pages 29-33 | ||
| Authors | ||
| Kamal Al-Rawi; Raed Shadfan | ||
| Abstract | ||
| Different ANN architectures of MLP have been trained by BP and used to analyze Landsat TM images. Two different approaches have been applied for training: an ordinary approach (for one hidden layer M-H1-L & two hidden layers M-H1-H2-L) and one-against-all strategy (for one hidden layer (M-H1-1)xL, & two hidden layers (M-H1-H2-1)xL). Classification accuracy up to 90% has been achieved using one-against-all strategy with two hidden layers architecture. The performance of one-against-all approach is slightly better than the ordinary approach. | ||
| Keywords | ||
| MLP; Landsat; Classification | ||
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