OSAD: Open-Set Aircraft Detection in SAR Images
Current mainstream synthetic aperture radar (SAR) image object detection methods still lack robustness when dealing with unknown objects in open environments. Open-set detection aims to enable detectors trained on a closed set to detect all known objects and identify unknown objects in open-set envi...
Saved in:
Main Authors: | Xiayang Xiao, Zhuoxuan Li, Xiaolin Mi, Dandan Gu, Haipeng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10815610/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution
by: Lin-Yu Dai, et al.
Published: (2025-01-01) -
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) -
A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion
by: Yuming Li, et al.
Published: (2025-01-01) -
Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance
by: Xianen Wei, et al.
Published: (2025-01-01) -
Imaging method for airborne SAL data
by: Guangzuo Li, et al.
Published: (2017-03-01)