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Weakly Supervised Change Detection Based on Edge Mapping and SDAE Network in High-Resolution Remote...

Weakly Supervised Change Detection Based on Edge Mapping and SDAE Network in High-Resolution Remote...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e608c2c8b5ce43f28de86a1b16b651c4

Weakly Supervised Change Detection Based on Edge Mapping and SDAE Network in High-Resolution Remote Sensing Images

About this item

Full title

Weakly Supervised Change Detection Based on Edge Mapping and SDAE Network in High-Resolution Remote Sensing Images

Publisher

MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3907

Language

English

Formats

Publication information

Publisher

MDPI AG

More information

Scope and Contents

Contents

Change detection for high-resolution remote sensing images is more and more widespread in the application of monitoring the Earth’s surface. However, on the one hand, the ground truth could facilitate the distinction between changed and unchanged areas, but it is hard to acquire them. On the other hand, due to the complexity of remote sensing image...

Alternative Titles

Full title

Weakly Supervised Change Detection Based on Edge Mapping and SDAE Network in High-Resolution Remote Sensing Images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e608c2c8b5ce43f28de86a1b16b651c4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e608c2c8b5ce43f28de86a1b16b651c4

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12233907

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