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December 5, 2025Remote SensingOpen Access

Ship Target Feature Detection of Airborne Scanning Radar Based on Trajectory Prediction Integration

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Authors

FZFan ZhangZXZhenghuan XiaSJShichao Jin

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Overview

Airborne scanning radar demonstrates improved detection through trajectory prediction matrix, suggesting enhanced feature extraction.

Key Points

  • Successful detections increased by 36.11% compared to conventional methods, indicating effective target identification.
  • This analysis utilizes a trajectory prediction matrix and integrates multi-feature detection to enhance radar capabilities.
  • Evaluation based on real-world data from C-band dual-polarization airborne scanning radar ensures practical relevance.
  • Optimal feature space separability highlights the potential for advanced maritime target detection.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/693231308e51979591dce8b3https://doi.org/10.3390/rs17233858
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Also Consider

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  1. 1Ship Target Detection in SAR Imagery Based on Band Recombination and Multi-Scale Feature Enhancement2025
  2. 2Multiscale feature and adaptive density-based detector for targets concealed in sea clutter of shipborne HFSWR2026
  3. 3An Improved Recognition Technique for Ship Targets Based on Dual-Path Cooperative Fusion Mechanism2026
  4. 4A Small Maritime Target Detection Method Using Nonlinear Dimensionality Reduction and Feature Sample Distance2024 · 1 citations
  5. 5A Feature-Enhanced Network-Based Target Detection Method for SAR Images of Ships in Complex Scenes2026