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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Shenbo Zhou, Zhenfei Liu, Hui Luo, Guanglin Qi, Yunfeng Liu, Haorui Zuo, Jianlin Zhang, Yuxing Wei
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-03-01
Schriftenreihe:	Remote Sensing
Schlagworte:	oriented object detection feature extraction feature enhancement convolutional neural network remote sensing image
Online-Zugang:	https://www.mdpi.com/2072-4292/17/6/1077
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