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PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imager...

PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imager...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a182d6b30594408a4f6df5c8714ddef

PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imagery

About this item

Full title

PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imagery

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2021-04, Vol.13 (7), p.1243

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The detection of Thermal Power Plants (TPPs) is a meaningful task for remote sensing image interpretation. It is a challenging task, because as facility objects TPPs are composed of various distinctive and irregular components. In this paper, we propose a novel end-to-end detection framework for TPPs based on deep convolutional neural networks. Spe...

Alternative Titles

Full title

PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imagery

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a182d6b30594408a4f6df5c8714ddef

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a182d6b30594408a4f6df5c8714ddef

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs13071243

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