Log in to save to my catalogue

Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing

Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ff5062632eb41a1a059be4b19774227

Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing

About this item

Full title

Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.207

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

High-resolution remote sensing images have been put into the application in remote sensing parsing. General remote sensing parsing methods based on semantic segmentation still have limitations, which include frequent neglect of tiny objects, high complexity in image understanding and sample imbalance. Therefore, a controllable fusion module (CFM) i...

Alternative Titles

Full title

Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6ff5062632eb41a1a059be4b19774227

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ff5062632eb41a1a059be4b19774227

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14010207

How to access this item