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Remote Sensing Data Fusion on Intelligent Terminals

This paper focuses on the possibilities offered by intelligent terminals applied to multisensor image data processing. The state of the art of remote sensing and its future developments are briefly analyzed in order to underline the need of an intelligent use of the large amount of data that will be available in future years. Data fusion is introduced as an interesting technique both to combine data collected by remote sensors and to extract the information which is not available from each separate informative channel. Artificial neural networks are presented as a powerful tool to be used in data fusion processing because of their capability to process data without any a priori information of the data set. An example of neural network processing on multisensor airborne data is given in order to show the effective possibility offered by an intelligent terminal in high level processing of multisensor data.