2 papers
cs.CV2025
ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification
Zuzheng Kuang, Haixia Bi, Chen Xu +1
Recently, polarimetric synthetic aperture radar (PolSAR) image classification has been greatly promoted by deep neural networks. However,current deep learning-based PolSAR classifi…
cs.CV2024
Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction
Yuchen Wang, Ziyi Guo, Haixia Bi +2
The annotation of polarimetric synthetic aperture radar (PolSAR) images is a labor-intensive and time-consuming process. Therefore, classifying PolSAR images with limited labels is…