Deep Learning-Based Classification Methods for Remote Sensing Images in Urban Built-Up Areas

Deep Learning-Based Classification Methods for Remote Sensing Images in Urban Built-Up Areas

Urban areas have been focused recently on the remote sensing applications since their function closely relates to the distribution of built-up areas, where reflectivity or scattering characteristics are the same or similar. Traditional pixel-based methods cannot discriminate the types of urban built...

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Bibliographic Details
Main Authors: Wenmei Li, Haiyan Liu, Yu Wang, Zhuangzhuang Li, Yan Jia, Guan Gui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
convolution neural network
urban built-up area
capsule network
model ensemble
high resolution remote sensing classification
Online Access:https://ieeexplore.ieee.org/document/8660387/

Internet

https://ieeexplore.ieee.org/document/8660387/

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