CscGAN: Conditional Scale-Consistent Generation Network for Multi-Level Remote Sensing Image to Map Translation
Automatic remote sensing (RS) image to map translation is a crucial technology for intelligent tile map generation. Although existing methods based on a generative network (GAN) generated unannotated maps at a single level, they have limited capacity in handling multi-resolution map generation at di...
Main Authors: | Yuanyuan Liu, Wenbin Wang, Fang Fang, Lin Zhou, Chenxing Sun, Ying Zheng, Zhanlong Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/10/1936 |
Similar Items
-
MapGAN: An Intelligent Generation Model for Network Tile Maps
by: Jingtao Li, et al.
Published: (2020-05-01) -
Prozodia, semantyka, styl – o hierarchii poziomów ekwiwalencji w tłumaczeniu piosenki kabaretowej (studium przypadku: polskojęzyczne warianty Money… Freda Ebba)
by: Aneta Wysocka
Published: (2021-11-01) -
RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer Learning
by: Jieqiong Song, et al.
Published: (2022-02-01) -
Levelling-out and register variation in the translations of experienced and inexperienced translators: a corpus-based study
by: Karien Redelinghuys
Published: (2016-07-01) -
Indicators of translation competence: Translators' self-concepts and the translation of titles
by: Maureen Ehrensberger-Dow & Gary Massey
Published: (2013-06-01)