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- W2547538988 abstract "Polarimetric synthetic aperture radar (PolSAR) is of great importance in the remote sensing, which can be used widely in both civil and military fields. However, existing classification methods cannot effectively utilize the spatial structure information of the SAR data. In this study, a classification method for PolSAR images based on non-negative tensor factorization (NTF) is proposed. The proposed method uses tensor to represent the original data and extract the spacial structure feature by using NTF. Classification results are obtained by using support vector machines (SVM) and the Wishart clustering technology. The results show the validity and accuracy of the proposed method on PolSAR images classification." @default.
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- W2547538988 date "2016-07-01" @default.
- W2547538988 modified "2023-09-23" @default.
- W2547538988 title "Classification of PolSAR image with non-negative tensor factorization approach" @default.
- W2547538988 cites W2024165284 @default.
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- W2547538988 doi "https://doi.org/10.1109/igarss.2016.7729291" @default.
- W2547538988 hasPublicationYear "2016" @default.
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