PolSAR-SFCGN: An End-to-End PolSAR Superpixel Fully Convolutional Generation Network

PolSAR-SFCGN: An End-to-End PolSAR Superpixel Fully Convolutional Generation Network

Polarimetric Synthetic Aperture Radar (PolSAR) image classification is one of the most important applications in remote sensing. The impressive superpixel generation approaches can improve the efficiency of the subsequent classification task and restrain the influence of the speckle noise to an exte...

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Bibliographic Details
Main Authors: Mengxuan Zhang, Jingyuan Shi, Long Liu, Wenbo Zhang, Jie Feng, Jin Zhu, Boce Chu
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Remote Sensing
Subjects:
superpixel generation
end-to-end
fully convolutional network
polarimetric information
Polarimetric Synthetic Aperture Radar image classification
Online Access:https://www.mdpi.com/2072-4292/17/15/2723
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https://www.mdpi.com/2072-4292/17/15/2723

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