PolSAR image classification using shallow to deep feature fusion network with complex valued attention

PolSAR image classification using shallow to deep feature fusion network with complex valued attention

Abstract Polarimetric Synthetic Aperture Radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products. Extracting meaningful features from PolSAR data poses challenges distinct from those encountered in optical imag...

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Bibliographic Details
Main Authors: Mohammed Q. Alkhatib, M. Sami Zitouni, Mina Al-Saad, Nour Aburaed, Hussain Al-Ahmad
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Complex-valued attention mechanism (CV-AM)
Complex-valued convolutional neural network (CV-CNN)
Polarimetric synthetic aperture radar (PolSAR) image classification
Feature fusion
Online Access:https://doi.org/10.1038/s41598-025-10475-3
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https://doi.org/10.1038/s41598-025-10475-3

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