A Deep Vector Quantization Clustering Method for Polarimetric SAR Images

A Deep Vector Quantization Clustering Method for Polarimetric SAR Images

Convolutional Neural Network (CNN) models are widely used in supervised Polarimetric Synthetic Aperture Radar (PolSAR) image classification. They are powerful tools to capture the non-linear dependency between adjacent pixels and outperform traditional methods on various benchmarks. On the contrary,...

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Bibliographic Details
Main Authors: Yixin Zuo, Jiayi Guo, Yueting Zhang, Bin Lei, Yuxin Hu, Mingzhi Wang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
CNN model
PolSAR image
unsupervised classification
convolutional autoencoder
vector quantization
Gaussian smoothing loss
Online Access:https://www.mdpi.com/2072-4292/13/11/2127

Internet

https://www.mdpi.com/2072-4292/13/11/2127

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