2024
DOI: 10.1109/jstars.2024.3365664
|View full text |Cite
|
Sign up to set email alerts
|

Unsupervised Semantic Segmentation of PolSAR Images Based on Multiview Similarity

Meilin Li,
Huanxin Zou,
Zhen Dong
et al.

Abstract: Semantic segmentation is an essential task in polarimetric synthetic aperture radar (PolSAR) image interpretation. To address the issue of insufficient measurement ability of singleview similarity, an unsupervised semantic segmentation method for PolSAR images based on multiview similarity is proposed to estimate the number-of-classes (NoC) and perform classification. NoC estimation is commonly neglected in semantic segmentation methods, to ensure rationality, a NoC estimation method before clustering is propo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 49 publications
0
0
0
Order By: Relevance