Vector Decomposition-Based Arbitrary-Oriented Object Detection for Optical Remote Sensing Images

Vector Decomposition-Based Arbitrary-Oriented Object Detection for Optical Remote Sensing Images

Arbitrarily oriented object detection is one of the most-popular research fields in remote sensing image processing. In this paper, we propose an approach to predict object angles indirectly, thereby avoiding issues related to angular periodicity and boundary discontinuity. Our method involves repre...

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Bibliographic Details
Main Authors: Kexue Zhou, Min Zhang, Youqiang Dong, Jinlin Tan, Shaobo Zhao, Hai Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
vector decomposition
arbitrarily oriented object detection
remote sensing
adaptive sample matching
YOLOX
Online Access:https://www.mdpi.com/2072-4292/15/19/4738

Internet

https://www.mdpi.com/2072-4292/15/19/4738

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