Multilayer Perceptron for analyzing satellite data

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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

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1.
Shadfan R. Multilayer Perceptron for analyzing satellite data. IJP [Internet]. 2011 Dec. 1 [cited 2024 Dec. 24];9(16):29-33. Available from: https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/784

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