Remote Sensing Scene Image Classification Based on Dense Fusion of Multi-level Features

For remote sensing scene image classification, many convolution neural networks improve the classification accuracy at the cost of the time and space complexity of the models. This leads to a slow running speed for the model and cannot realize a trade-off between the model accuracy and the model run...

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Bibliographic Details
Main Authors: Cuiping Shi, Xinlei Zhang, Jingwei Sun, Liguo Wang
Format: article
Language:EN
Published: MDPI AG 2021
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Online Access:https://doaj.org/article/7ff1c25b3c504474bd786360b4763f16
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