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Essay heading: Optimal Synthetic Aperture Radar Image Detection
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Issue: Technology
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Date added: August 17, 2001
No of pages / words: 6 / 1592
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ANN algorithms find the best nonlinear function, in the optimal case, between the input and the output data without any constraint of linearity or pre-specified nonlinearity which is required. It has also been shown that supervised neural network classifiers (NC) have outperformed unsupervised methods because the last one utilizes no a priori class information [9]...
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Different detection schemes have been proposed and investigated for target detection in SAR images. However, they always utilized the generalized likelihood ratio test (GLRT) as the detection statistics, which is a special case of the quadratic discriminant function in the feature space. The design of a target detector can be divided into two phases: signal representation and detector formulation...
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