A New Parallel Dual-Channel Fully Convolutional Network Via Semi-Supervised FCM for PolSAR Image Classification

A New Parallel Dual-Channel Fully Convolutional Network Via Semi-Supervised FCM for PolSAR Image Classification

Convolutional neural network (CNN) has achieved remarkable success in polarimetric synthetic aperture radar (PolSAR) image classification. However, the PolSAR image classification is a pixelwise prediction assignment. The disadvantages of repeated calculation, memory occupation, and inadequate label...

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Bibliographic Details
Main Authors:	Feng Zhao, Min Tian, Wen Xie, Hanqiang Liu
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Dilated FCN (DFCN) dual-channel dilated fully convolutional network (DCDFCN) fully convolutional network (FCN) polarimetric synthetic aperture radar (PolSAR) semi-supervised fuzzy c-means clustering (SSFCM)
Online Access:	https://ieeexplore.ieee.org/document/9162444/

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