3 papers
cs.CV2025
A Novel Riemannian Sparse Representation Learning Network for Polarimetric SAR Image Classification
Junfei Shi, Mengmeng Nie, Weisi Lin +3
Deep learning is an effective end-to-end method for Polarimetric Synthetic Aperture Radar(PolSAR) image classification, but it lacks the guidance of related mathematical principle…
cs.CV2025
Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification
Junfei Shi, Yuke Li, Mengmeng Nie +4
Deep learning has been extensively utilized for PolSAR image classification. However, most existing methods transform the polarimetric covariance matrix into a real- or complex-val…
cs.CV2023
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification
Junfei Shi, Wei Wang, Haiyan Jin +2
Recently, deep learning methods have achieved superior performance for Polarimetric Synthetic Aperture Radar(PolSAR) image classification. Existing deep learning methods learn PolS…