An innovative semantically guided SAR imaging and target enhancement method
Abstract Conventional sparse synthetic aperture radar (SAR) imaging methods apply regularisation to constrain scene priors. However, these methods often neglect specific target regions, resulting in undifferentiated imaging. This letter introduces a novel network for sparse SAR imaging and target re...
Saved in:
| Main Authors: | Guoru Zhou, Zhe Zhang, Bingchen Zhang, Yirong Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.70123 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR
by: Yifan Wu, et al.
Published: (2025-01-01) -
Tomographic SAR imaging via generative adversarial neural network with cascaded U‐Net architecture
by: Jie Li, et al.
Published: (2024-09-01) -
Cosine Similarity Template Matching Networks for Optical and SAR Image Registration
by: Wenxuan Xiong, et al.
Published: (2025-01-01) -
Polarisation Synthesis Applied to 3D Polarimetric Imaging for Enhanced Buried Object Detection and Identification
by: Samuel J. I. Forster, et al.
Published: (2024-11-01) -
YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images
by: Prabu Selvam, et al.
Published: (2025-01-01)