Mono- and Dual-Regulated Contractive-Expansive-Contractive Deep Convolutional Networks for Classification of Multispectral Remote Sensing Images
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DOI: 10.1109/lgrs.2022.3211861
Abstract: Deep convolutional neural networks (CNNs) are the state-of-the-art methods in the domain of classification of remote sensing (RS) data. However, traditional CNN models suffer from huge computational costs in learning land-use and land-cover features, particularly… read more here.
Keywords: mono dual; remote sensing; contractive expansive; deep convolutional ... See more keywords