Aircraft Wake Vortex Recognition Method Based on Improved Inception-VGG16 Hybrid Network

This paper proposes a hybrid deep learning network architecture (Inception-VGG16) to address the challenge of accurate aircraft wake vortex identification. The model first employs a Feature0 module for preliminary feature extraction of two-dimensional Doppler radar radial velocity data. This module...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Weijun Pan, Yuhao Wang, Leilei Deng, Yanqiang Jiang, Yuanfei Leng
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-05-01
Sarja:	Sensors
Aiheet:	wake vortex wake vortex identification inception-VGG16 Doppler lidar deep learning
Linkit:	https://www.mdpi.com/1424-8220/25/9/2909
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