PolSAR Image Classification with Active Complex-Valued Convolutional-Wavelet Neural Network and Markov Random Fields

PolSAR Image Classification with Active Complex-Valued Convolutional-Wavelet Neural Network and Markov Random Fields

PolSAR image classification has attracted extensive significant research in recent decades. Aiming at improving PolSAR classification performance with speckle noise, this paper proposes an active complex-valued convolutional-wavelet neural network by incorporating dual-tree complex wavelet transform...

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Bibliographic Details
Main Authors: Lu Liu, Yongxiang Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
PolSAR classification
complex-valued convolutional-wavelet neural network (CV-CWNN)
dual-tree complex wavelet transform (DT-CWT)
active learning (AL)
Markov random field (MRF)
Online Access:https://www.mdpi.com/2072-4292/16/6/1094

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https://www.mdpi.com/2072-4292/16/6/1094

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