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Point-HRRP-Net: A Deep Fusion Framework via Bi-Directional Cross-Attention for Robust Radar Object Classification in Remote Sensing

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By Zhuoyi Yang, Haitao Zhang, Yanwei Wang, Zhenou Zhao
| Preprints.org
Submitted: 09 January 2026 You are already at the latest version Robust radar object classification is a challenging task, primarily due to the aspect sensitivity limitation of one-dimensional High-Resolution Range Profile (HRRP) data. To address this, we propose Point-HRRP-Net. This multi-modal framework integrates HRRP with 3D LiDAR point clouds via a Bi-Directional Cross-Attention (Bi-CA) mechanism to enable deep feature interaction.
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