Log in to save to my catalogue

Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharp...

Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharp...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7eca329152fb4a04bd008ff11c99b648

Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharpening

About this item

Full title

Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharpening

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2025-04, Vol.25 (8), p.2560

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Pansharpening techniques are crucial in remote sensing image processing, with deep learning emerging as the mainstream solution. In this paper, the pansharpening problem is formulated as two optimization subproblems with a solution proposed based on multiscale contrastive learning combined with attention-guided gradient projection networks. First,...

Alternative Titles

Full title

Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharpening

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7eca329152fb4a04bd008ff11c99b648

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7eca329152fb4a04bd008ff11c99b648

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s25082560

How to access this item