论文信息 - Data Mining and Knowledge Discovery in Complex Image Data using Artificial Neural Networks

Data Mining and Knowledge Discovery in Complex Image Data using Artificial Neural Networks

This paper presents a method for Data Mining and Knowledge Discovery in Image Data. This method is based on the Self-Organizing Map (SOM) which is an unsupervised artificial neural network algorithm. The SOM possesses unique properties of clustering, classification, modelling and visualization and is used here as a Data Mining tool. This enables us to get informative yet simpler pictures of the image data space whose dimension, complexity and amount are large for human observation alone. For this purpose, a Landsat-5 TM satellite Remotely Sensed Image of the Lower Thames Valley area in the vicinity of Heathrow Airport (London, UK) was used in this study for evaluating the proposed SOM Neural network and comparing its results with conventional classification algorithms which are used in the Remote Sensing field.

I. Evangelou | D. Hadjimitsis | A. Lazakidou | C. Clayton

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