GCA2Net: Global-Consolidation and Angle-Adaptive Network for Oriented Object Detection in Aerial Imagery

Enhancing the detection capabilities of rotated objects in aerial imagery is a vital aspect of the burgeoning field of remote sensing technology. The objective is to identify and localize objects oriented in arbitrary directions within the image. In recent years, the capacity for rotated object dete...

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Detalhes bibliográficos

Principais autores:	Shenbo Zhou, Zhenfei Liu, Hui Luo, Guanglin Qi, Yunfeng Liu, Haorui Zuo, Jianlin Zhang, Yuxing Wei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
coleção:	Remote Sensing
Assuntos:	oriented object detection feature extraction feature enhancement convolutional neural network remote sensing image
Acesso em linha:	https://www.mdpi.com/2072-4292/17/6/1077
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