Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs

Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs

Impervious surfaces play an important role in urban planning and sustainable environmental management. High-spatial-resolution (HSR) images containing pure pixels have significant potential for the detailed delineation of land surfaces. However, due to high intraclass variability and low interclass...

Full description

Bibliographic Details
Main Authors: Yongyong Fu, Kunkun Liu, Zhangquan Shen, Jinsong Deng, Muye Gan, Xinguo Liu, Dongming Lu, Ke Wang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
transfer learning
remote sensing
deep learning
object-based image analysis (OBIA)
Online Access:https://www.mdpi.com/2072-4292/11/3/280

Internet

https://www.mdpi.com/2072-4292/11/3/280

Similar Items