A Dual-Polarization Information Guided Network for SAR Ship Classification

07/11/2022

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How to fully utilize polarization to enhance synthetic aperture radar (SAR) ship classification remains an unresolved issue. Thus, we propose a dual-polarization information guided network (DPIG-Net) to solve it.

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A Dual-Polarization Information Guided Network for SAR Ship Classification

Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar

DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition

Automatized marine vessel monitoring from sentinel-1 data using convolution neural network

Application of the Modified Fractal Signature Method for Terrain Classification from Synthetic Aperture Radar Images

Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping

Explainability in CNN Models By Means of Z-Scores

Joint Embedding and Classification for SAR Target Recognition

A Dual-Polarization Information Guided Network for SAR Ship Classification

Related Research

Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar

DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition

Automatized marine vessel monitoring from sentinel-1 data using convolution neural network

Application of the Modified Fractal Signature Method for Terrain Classification from Synthetic Aperture Radar Images

Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping

Explainability in CNN Models By Means of Z-Scores

Joint Embedding and Classification for SAR Target Recognition