A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association
Video Synthetic Aperture Radar (ViSAR) operates by continuously monitoring regions of interest to produce sequences of SAR imagery. The detection and tracking of ground-moving targets, through the analysis of their radiation properties and temporal variations relative to the background environment,...
Saved in:
| Main Authors: | Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/6/959 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-granularity feature intersection learning for visible-infrared person re-identification
by: Sixian Chan, et al.
Published: (2025-05-01) -
Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance
by: Jumabek Alikhanov, et al.
Published: (2025-01-01) -
MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR
by: Xiaowo Xu, et al.
Published: (2025-01-01) -
BiFFN: Bi-Frequency Guided Feature Fusion Network for Visible–Infrared Person Re-Identification
by: Xingyu Cao, et al.
Published: (2025-02-01) -
A Joint Moving Target Detection Method in Video SAR Via Low-Rank Sparse Decomposition and Transformer
by: Hui Fang, et al.
Published: (2025-01-01)