arXiv Artificial Intelligence

High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness

3 hours ago 18.09.2026 07:00 👁 2 views
High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness

Quick summary

arXiv:2603.00087v2 Announce Type: replace-cross Abstract: We revisit High-Resolution Range Profile (HRRP) classification with aspect-angle conditioning. While prior work often assumes that aspect-angle information is incomplete during training or unavailable at inference, we study a setting where angles are available for all training samples and explicitly provided to the classifier. Using three datasets and a broad range of conditioning strategies and model architectures, we show that both single-profile and sequential classifiers benefit consistently from aspect-angle awareness, with an aver

Key takeaways

  • arXiv:2603.00087v2 Announce Type: replace-cross Abstract: We revisit High-Resolution Range Profile (HRRP) classification with aspect-angle conditioning.
  • While prior work often assumes that aspect-angle information is incomplete during training or unavailable at inference, we study a setting where angles are available for all training samples and explicitly provided to the classifier.
  • Using three datasets and a broad range of conditioning strategies and model architectures, we show that both single-profile and sequential classifiers benefit consistently from aspect-angle awareness, with an aver

Why it matters

The significance goes beyond a temporary access problem: “High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness” exposes the operational cost of depending on one AI provider. Critical tasks need predefined fallback, queueing and human-continuation paths.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗