RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer Learning

RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer Learning

Maps can help governments in infrastructure development and emergency rescue operations around the world. Using adversarial learning to generate maps from remote sensing images is an emerging field. As we now know, the urban construction styles of different cities are diverse. The current translatio...

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Bibliographic Details
Main Authors:	Jieqiong Song, Jun Li, Hao Chen, Jiangjiang Wu
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Remote Sensing
Subjects:	map translation adversarial transfer learning remote sensing image attention mechanism
Online Access:	https://www.mdpi.com/2072-4292/14/4/919

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