Red Neuronal de Mejora de Características Sensibles a la Rotación para la Detección de Objetos Orientados en Imágenes

Jiaxin Xu1, Hua Huo1, Shilu Kang1

  • 1College of Information Engineering and Artificial Intelligence, Henan University of Science and Technology, Luoyang 471000, China.

PubMed
Resumen

Este estudio presenta una Red Neuronal de Pirámide de Características Sensibles a la Rotación (RSFPN) mejorada para la detección precisa de objetos orientados en imágenes de teledetección. El marco RSFPN mejora significativamente el rendimiento al abordar los desafíos de representación y optimización de características.

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