22 citations · 28 across the 3 of their papers we have counts for
4 papers
Dual-frequency Selected Knowledge Distillation with Statistical-based Sample Rectification for PolSAR Image Classification
Xinyue Xin, Ming Li, Yan Wu +3
The collaborative classification of dual-frequency PolSAR images is a meaningful but also challenging research. The effect of regional consistency on classification information lea…
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure
Yice Cao, Yan Wu, Ming Li +3
Compared with the rapid development of single-frequency multi-polarization SAR image classification technology, there is less research on the land cover classification of multifreq…
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification
Wenkai Liang, Yan Wu, Ming Li +3
Convolutional neural networks (CNNs) have been applied to learn spatial features for high-resolution (HR) synthetic aperture radar (SAR) image classification. However, there has be…
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network
Yice Cao, Yan Wu, Peng Zhang +2
Although complex-valued (CV) neural networks have shown better classification results compared to their real-valued (RV) counterparts for polarimetric synthetic aperture radar (Pol…