Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Fe...
Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Object detection on very-high-resolution (VHR) remote sensing imagery has attracted a lot of attention in the field of image automatic interpretation. Region-based convolutional neural networks (CNNs) have been vastly promoted in this domain, which first generate candidate regions and then accurately classify and locate the objects existing in thes...
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Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network
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TN_cdi_doaj_primary_oai_doaj_org_article_2688f374719442bc9f8d567bd391a4b6
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2688f374719442bc9f8d567bd391a4b6
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs11070755
