期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2016
卷号：XL-3/W4
出版社：Copernicus Publications
摘要：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
