RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection

RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection

Synthetic aperture radar (SAR) encounters distinct challenges in airborne surveillance (dynamic scene variations, target edge blurring) and spaceborne observation (large-scale analysis, high-resolution processing). Both traditional methods and contemporary deep learning-based solutions exhibit limit...

Full description

Saved in:
Bibliographic Details
Main Authors: Hao Chang, Ping Lang, Xiongjun Fu, Kunyi Guo, Xinqing Sheng, Jialin Guan, Chuyi Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Airborne video surveillance
attention mechanism
deep learning
large-scale scene analysis
small-target detection
spaceborne Earth observation
Online Access:https://ieeexplore.ieee.org/document/11075953/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11075953/

Similar Items