Transfer Learning With Fully Pretrained Deep Convolution Networks for Land-Use Classification
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DOI: 10.1109/lgrs.2017.2691013
Abstract: In recent years, transfer learning with pretrained convolutional networks (CNets) has been successfully applied to land-use classification with high spatial resolution (HSR) imagery. The commonly used transfer CNets partially use the feature descriptor part of… read more here.
Keywords: pretrained cnets; land use; fully pretrained; use classification ... See more keywords