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Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data

Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_844bd3a532ef49cdadaf84461d3fb5fe

Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data

About this item

Full title

Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2019-11, Vol.11 (21), p.2586

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The recent emergence of high-resolution Synthetic Aperture Radar (SAR) images leads to massive amounts of data. In order to segment these big remotely sensed data in an acceptable time frame, more and more segmentation algorithms based on deep learning attempt to take superpixels as processing units. However, the over-segmented images become non-Eu...

Alternative Titles

Full title

Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_844bd3a532ef49cdadaf84461d3fb5fe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_844bd3a532ef49cdadaf84461d3fb5fe

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs11212586

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