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RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_da7cd268e8b2400abd898bfb1a15d6b1

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

About this item

Full title

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

Publisher

Switzerland: MDPI

Journal title

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1594

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

Image classification is a fundamental task in remote sensing image processing. In recent years, deep convolutional neural networks (DCNNs) have experienced significant breakthroughs in natural image recognition. The remote sensing field, however, is still lacking a large-scale benchmark similar to ImageNet. In this paper, we propose a remote sensin...

Alternative Titles

Full title

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_da7cd268e8b2400abd898bfb1a15d6b1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_da7cd268e8b2400abd898bfb1a15d6b1

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20061594

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