A Two-Phase Object Detection Solution for Aerial Images

Chen Xing, Xi Liang, Pengliang Zhang
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Abstract

This paper proposes a two-phase solution for aerial inspecting. First phase focuses on removing images with no abnormal, modified YOLOv3 is used in this phase. Second phase focuses on target locating and identifying, modified SSD is applied in this phase. The experiment result shows the modified YOLOv3 get 2.2% higher accuracy than original design, and the miss rate of detecting images with no abnormal is only 2.6%.
航空图像的两阶段目标检测解决方案
本文提出了一种航空检测的两阶段解决方案。第一阶段的重点是去除没有异常的图像,这一阶段使用修改后的YOLOv3。第二阶段以目标定位和识别为重点,采用改进的固态硬盘。实验结果表明,改进后的YOLOv3比原设计提高了2.2%的准确率,对无异常图像的检测失误率仅为2.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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