MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR
Existing convolution neural network (CNN)-based video synthetic aperture radar (SAR) moving target shadow detectors are difficult to model long-range dependencies, while transformer-based ones often suffer from greater complexity. To handle these issues, this paper proposes MambaShadowDet, a novel l...
Saved in:
Main Authors: | Xiaowo Xu, Tianwen Zhang, Xiaoling Zhang, Wensi Zhang, Xiao Ke, Tianjiao Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/2/214 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Methodological aspects of the problem of measuring shadow activity in the economy
by: M. D. Khabib, et al.
Published: (2021-09-01) -
Imaging method for airborne SAL data
by: Guangzuo Li, et al.
Published: (2017-03-01) -
On the problems of monitoring the shadow economy
by: E. V. Baturina
Published: (2022-04-01) -
Building Extraction From High-Resolution Multispectral and SAR Images Using a Boundary-Link Multimodal Fusion Network
by: Zhe Zhao, et al.
Published: (2025-01-01) -
DOUBLE STANDARDS IN ECONOMIC POLICY AND THE SHADOW ECONOMY
by: S. Chernov
Published: (2016-09-01)