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Author/Affiliation: Xianxian LuoOpen AccessArticle
6 Pages, 458 KB 
Application of Deep Belief Network in Forest Type Identification using Hyperspectral Data
Abstract:
Forest mapping by remote sensing is a hot topics in forestry. At present, many researchers focus on the research of forest type classification or tree species identification using different machine learning methods and try to improve the accuracy of classification of satellite image. However, forest type classification using deep belief network (DBN) is still limited…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Information Systems in Computer Science (CIS))