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For the speckle consisted in Synthetic Aperture Radar (SAR) image,good result of SAR image segmentation can not be gotten with traditional methods. In this paper, a new method of SAR image segmentation is proposed with the combination of fuzzy neural network and the statistical feature of SAR image. Firstly, texture features of SAR image are extracted with gray level co-occurrence matrix, then SAR...
A blind equalization algorithm based on fuzzy neural network was proposed. Blind channel estimation and fuzzy neural network classifier were utilized to realize blind equalization. Firstly Blind channel estimation was used to identify the character of the channel. Signals were rebuilt by de-convolution, and the original judgment equipment was replaced by fuzzy neural network classifier. Simulations...
Land-use change is an important area of global change research, rapid and accurate access to land-use temporal and spatial variation information is a key technology to study land-use change. In this paper proposed a method which utilizes the improved model of fuzzy ARTMAP network - simplified fuzzy ARTMAP neural network for remote sensing land-use classification, and Take the TM remote sensing image...
The past few years have seen a lot of applications of Hybrid Soft Computing approaches that seem to have completely replaced the traditional uni-system approaches. The added abilities that come from the hybrid approaches motivate their use in every system. Bio-Medical Engineering is yet another field which has seen a major change in the past few years. We find various new approaches being applied...
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