SCDA: A Style and Content Domain Adaptive Semantic Segmentation Method for Remote Sensing Images
SCDA: A Style and Content Domain Adaptive Semantic Segmentation Method for Remote Sensing Images
About this item
Full title
Author / Creator
Xiao, Hongfeng , Yao, Wei , Chen, Haobin , Cheng, Li , Li, Bo and Ren, Longfei
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Due to the differences in imaging methods and acquisition areas, remote sensing datasets can exhibit significant variations in both image style and content. In addition, the ground objects can be quite different in scale even within the same remote sensing image. These differences should be considered in remote sensing image segmentation tasks. Ins...
Alternative Titles
Full title
SCDA: A Style and Content Domain Adaptive Semantic Segmentation Method for Remote Sensing Images
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e9ee8ec10a904061aca0b8e7afcba4e8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9ee8ec10a904061aca0b8e7afcba4e8
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15194668
