4 papers
Direction-adaptive Mamba: Spatial-Frequency Dual-Domain Collaborative Learning for PolSAR Image Classification
Junfei Shi, Yu Cheng, Haojia Zhang +3
Deep learning dominates polarimetric synthetic aperture radar (PolSAR) image classification, with Mamba architectures serving as favorable backbones due to linear complexity and st…
Multiview Manifold Evidential Fusion for PolSAR Image Classification
Junfei Shi, Haojia Zhang, Haiyan Jin +5
Polarimetric Synthetic Aperture Radar (PolSAR) covariance matrices and their extracted multi-features - such as scattering angle, entropy, texture, and boundary descriptors - provi…
Knowledge-guided Complex Diffusion Model for PolSAR Image Classification in Contourlet Domain
Junfei Shi, Yu Cheng, Haiyan Jin +4
Diffusion models have demonstrated exceptional performance across various domains due to their ability to model and generate complicated data distributions. However, when applied t…
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…