CscGAN: Conditional Scale-Consistent Generation Network for Multi-Level Remote Sensing Image to Map Translation

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...

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Bibliographic Details
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:
remote sensing image to map translation
multi-level map translation
multi-scale generator and discriminator
level classifier
hierarchical feature learning
Online Access:https://www.mdpi.com/2072-4292/13/10/1936

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https://www.mdpi.com/2072-4292/13/10/1936

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