Classification of Polarimetric Sar Data by Complex Valued Neural Networks
نویسندگان
چکیده
In the last decades it often has been shown that Multilayer Perceptrons (MLPs) are powerful function approximators. They were successfully applied to a lot of different classification problems. However, originally they only deal with real valued numbers. Since PolSAR data is a complex valued signal this paper propose the usage of Complex Valued Neural Networks (CVNNs), which are an extension of MLPs to the complex domain. The paper provides a generalized derivation of the complex backpropagation algorithm, mentions regarding problems and possible solutions and evaluate the performance of CVNNs by a classification task of different landuses in PolSAR images.
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