A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification

In this work, a discriminatively learned CNN embedding is proposed for remote sensing image scene classification. Our proposed siamese network simultaneously computes the classification loss function and the metric learning loss function of the two input images. Specifically, for the classification...

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Veröffentlicht in:	arXiv.org 2019-12
Hauptverfasser:	Wang, Wen, Du, Lijun, Gao, Yinxing, Su, Yanzhou, Wang, Feng, Cheng, Jian
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Detection Embedding Image classification Learning Remote sensing
Online-Zugang:	Volltext
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