Detection of Multitemporal Changes with Artificial Neural Network-Based Change Detection Algorithm U...
Detection of Multitemporal Changes with Artificial Neural Network-Based Change Detection Algorithm Using Hyperspectral Dataset
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Monitoring the Earth’s surface and objects is important for many applications, such as managing natural resources, crop yield predictions, and natural hazard analysis. Remote sensing is one of the most efficient and cost-effective solutions for analyzing land-use and land-cover (LULC) changes over the Earth’s surface through advanced computer algor...
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Detection of Multitemporal Changes with Artificial Neural Network-Based Change Detection Algorithm Using Hyperspectral Dataset
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TN_cdi_doaj_primary_oai_doaj_org_article_36197df8fe8246a09362ac9dcc90752f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_36197df8fe8246a09362ac9dcc90752f
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15051326
