Exploiting low dimensional features from the MobileNets for remote sensing image retrieval
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DOI: 10.1007/s12145-020-00484-3
Abstract: Generally, traditional convolutional neural networks (CNN) models require a long training time and output high-dimensional features for content-based remote sensing image retrieval (CBRSIR). This paper aims to examine the retrieval performance of the MobileNets model… read more here.
Keywords: sensing image; dimensional features; retrieval; retrieval performance ... See more keywords