A Novel Deep Fully Convolutional Network for PolSAR Image Classification

A Novel Deep Fully Convolutional Network for PolSAR Image Classification

Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more popular in recent years. As we all know, PolSAR image classification is actually a dense prediction problem. Fortunately, the recently proposed fully convolutional network (FCN) model can be used to solve th...

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Bibliographic Details
Main Authors: Yangyang Li, Yanqiao Chen, Guangyuan Liu, Licheng Jiao
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
polarimetric synthetic aperture radar (PolSAR)
fully convolutional network (FCN)
sliding window fully convolutional network and sparse coding (SFCN-SC)
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/2072-4292/10/12/1984

Internet

https://www.mdpi.com/2072-4292/10/12/1984

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