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Author/Affiliation: Hicham OmaraOpen AccessArticle
11 Pages, 1,501 KB 
Using Classic Networks for Classifying Remote Sensing Images: Comparative Study
Abstract:
This paper presents a comparative study for using the classic networks in remote sensing images classification. There are four deep convolution models that used in this comparative study; the DenseNet 196, the NASNet Mobile, the VGG 16, and the ResNet 50 models. These learning convolution models are based on the use of the ImageNet pre-trained…
Read More(This article belongs to the Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020 & Section Interdisciplinary Applications of Computer Science (CSI))