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Both image registration and fusion are essential steps to produce high-resolution multispectral images in remote sensing. Traditionally, they are viewed as two independent processes. As a result, the registration errors ignored in the fusion process can significantly affect the fusion quality. In this context, an iterative optimization approach, which jointly considers the registration and fusion...
In this paper, a multi-sensor data fusion method based on dynamic fuzzy neural network (DFNN) for object recognition is proposed.DFNN is composed of two individual fuzzy neural networks. During the practical recognition process, one fuzzy neural network is used for recognition while the other is tracking trained. At the appropriate time the role of the two networks can be exchanged according to certain...
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