A Novel Multimodal Fusion Framework Based on Point Cloud Registration for Near-Field 3D SAR Perception.

Distribution-Based Anchor Assignment and Comprehensive Score Voting With Distance Penalty IoU Loss for SAR Remote Sensing Ship Detection.

GNN-JFL: Graph Neural Network for Video SAR Shadow Tracking With Joint Motion-Appearance Feature Learning.

Joint Generalized Lq and Convolutional Regularization: Enhancing mmW Automotive SAR Sparse Imaging.

CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection.

Scale in Scale for SAR Ship Instance Segmentation.

HDSS-Net: A Novel Hierarchically Designed Network With Spherical Space Classifier for Ship Recognition in SAR Images.

HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification.

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images.

A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection.

A Sparse-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering.

RBFA-Net: A Rotated Balanced Feature-Aligned Network for Rotated SAR Ship Detection and Classification.

ShadowDeNet: A Moving Target Shadow Detection Network for Video SAR.

Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement.

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis.