Fully Polarimetric SAR Image Classification Using Different Learning Approaches
نویسندگان
چکیده
This paper compares multilook Polarimetric SAR (PolSAR) image classification using three types of learning: a supervised, an unsupervised and a semisupervised. The multilook PolSAR pixel values are complex covariance matrices and they are described by mixtures of Wishart distributions. Tests in synthetic and real images showed that the supervised and semisupervised classifications provided the best results. Keywords-Multilook Polarimetric SAR Image; Image Classification; Supervised Learning, Unsupervised Learning; Semi-supervised Learning; EM algorithm.
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