Log in to save to my catalogue

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Obje...

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Obje...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_32eb3d6ad89b4cf7b9406d53c425a95d

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective

About this item

Full title

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-08, Vol.23 (17), p.7514

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Remote sensing scene objective recognition (RSSOR) plays a serious application value in both military and civilian fields. Convolutional neural networks (CNNs) have greatly enhanced the improvement of intelligent objective recognition technology for remote sensing scenes, but most of the methods using CNN for high-resolution RSSOR either use only t...

Alternative Titles

Full title

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_32eb3d6ad89b4cf7b9406d53c425a95d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_32eb3d6ad89b4cf7b9406d53c425a95d

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23177514

How to access this item