A review of deep learning object detection methods for remote sensing images

Xueying Wang, Weishan Lu, Feng Zhang, Yuan D. Huang, Zhichao Sha, Shilin Zhou
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Abstract

With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.
遥感图像深度学习物体检测方法综述
随着硬件计算能力的提高,深度学习方法在遥感领域的应用日益增多。本文总结了近年来深度学习方法在遥感图像目标检测中的进展。总结了深度学习方法在各种目标检测任务中提取和使用目标特征信息的主要方法。最后,展望了深度学习方法在遥感图像检测领域的应用趋势。
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