Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification

Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification

Terrain classification is an important topic in polarimetric synthetic aperture radar (PolSAR) image processing and interpretation. A novel PolSAR classification method based on the three-channel convolutional neural network (Tc-CNN) is proposed and this method can effectively take the advantage of...

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Bibliographic Details
Main Authors: Wenqiang Hua, Wen Xie, Xiaomin Jin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
polarimetric synthetic aperture radar (PolSAR)
terrain classification
three-channel convolutional neural network (Tc-CNN)
Online Access:https://ieeexplore.ieee.org/document/9172110/

Internet

https://ieeexplore.ieee.org/document/9172110/

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