Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification

In this paper, we propose a multiscale deep feature learning method for high-resolution satellite image scene classification. Specifically, we first warp the original satellite image into multiple different scales. The images in each scale are employed to train a deep convolutional neural network (D...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2018-01, Vol.56 (1), p.117-126
Hauptverfasser: Liu, Qingshan, Hang, Renlong, Song, Huihui, Li, Zhi
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Sprache:eng
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