A Flexible Region of Interest Extraction Algorithm with Adaptive Threshold for 3-D Synthetic Aperture Radar Images
Most of the existing image segmentation methods have a strong anti-noise ability but are susceptible to the interference in the background, so they are not suitable for 3-D synthetic aperture radar (SAR) image target extraction. Region of interest (ROI) extraction can improve the anti-interference a...
Enregistré dans:
Auteurs principaux: | Liang Li, Xiaoling Zhang, Bokun Tian, Chen Wang, Liming Pu, Jun Shi, Shunjun Wei |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/9bf5464f99e6439ea42b9f08d9a61d99 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Multi-Hypothesis Topological Isomorphism Matching Method for Synthetic Aperture Radar Images with Large Geometric Distortion
par: Runzhi Jiao, et autres
Publié: (2021) -
Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images
par: Gang Zhang, et autres
Publié: (2021) -
A Novel Guided Anchor Siamese Network for Arbitrary Target-of-Interest Tracking in Video-SAR
par: Jinyu Bao, et autres
Publié: (2021) -
SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size
par: Yuchen Guo, et autres
Publié: (2021) -
A Robust InSAR Phase Unwrapping Method via Phase Gradient Estimation Network
par: Liming Pu, et autres
Publié: (2021)