Polarimetric Synthetic Aperture Radar Image Classification Based on Double-Channel Convolution Network and Edge-Preserving Markov Random Field

Polarimetric Synthetic Aperture Radar Image Classification Based on Double-Channel Convolution Network and Edge-Preserving Markov Random Field

Deep learning methods have gained significant popularity in the field of polarimetric synthetic aperture radar (PolSAR) image classification. These methods aim to extract high-level semantic features from the original PolSAR data to learn the polarimetric information. However, using only original da...

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Bibliographic Details
Main Authors: Junfei Shi, Mengmeng Nie, Shanshan Ji, Cheng Shi, Hongying Liu, Haiyan Jin
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
PolSAR image classification
Wishart-based complex matrix network
multi-feature network
double-channel convolution network
edge-preserving MRF
Online Access:https://www.mdpi.com/2072-4292/15/23/5458

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https://www.mdpi.com/2072-4292/15/23/5458

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