Multiscale Feature Extraction by Using Convolutional Neural Network: Extraction of Objects from Mult...
Multiscale Feature Extraction by Using Convolutional Neural Network: Extraction of Objects from Multiresolution Images of Urban Areas
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Basel: MDPI AG
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English
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Basel: MDPI AG
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The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of complex urban land cover data, with a specific emphasis on buildings and roads. MSFCNN is employed...
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Multiscale Feature Extraction by Using Convolutional Neural Network: Extraction of Objects from Multiresolution Images of Urban Areas
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TN_cdi_doaj_primary_oai_doaj_org_article_32f608984772482d8a8b3e8517c3477b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_32f608984772482d8a8b3e8517c3477b
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ISSN
2220-9964
E-ISSN
2220-9964
DOI
10.3390/ijgi13010005
