Remote Sensing Image Object Detection Based on Angle Classification

Remote Sensing Image Object Detection Based on Angle Classification

Arbitrarily-oriented object detection is a challenging task. Since the object orientation in remote sensing images is arbitrary, using horizontal bounding boxes will lead to low detection accuracy. Existing regression-based rotation detectors can lead to the problem of boundary discontinuity. In thi...

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Bibliographic Details
Main Authors: Pengfei Shi, Zhongxin Zhao, Xinnan Fan, Xijun Yan, Wei Yan, Yuanxue Xin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Remote sensing image
angle classification
rotation detection frame
object detection
deep learning
Online Access:https://ieeexplore.ieee.org/document/9521517/

Internet

https://ieeexplore.ieee.org/document/9521517/

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