Author Correction: Lightweight deep neural network for radio frequency interference detection and segmentation in synthetic aperture radar
Saved in:
| Main Authors: | Fenghao Zheng, Zhongmin Zhang, Dang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-75441-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Residual-Based Implicit Neural Representation for Synthetic Aperture Radar Images
by: Dongshen Han, et al.
Published: (2024-11-01) -
Self-Activated Implicit Neural Representation for Synthetic Aperture Radar Images
by: Dongshen Han, et al.
Published: (2024-11-01) -
AIRBORNE INTERFEROMETRIC SYNTHETIC APERTURE RADAR
by: E. E. Nechaev, et al.
Published: (2016-11-01) -
CFAR Target Detector in Synthetic Aperture Radar
by: A. A. Monakov
Published: (2024-07-01) -
Multiple-Input Multiple-Output Synthetic Aperture Radar Waveform and Filter Design in the Presence of Uncertain Interference Environment
by: Ke Xu, et al.
Published: (2024-11-01)