计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 378-383.doi: 10.11896/jsjkx.210300121
祝文韬1, 兰先超1, 罗唤霖1, 岳彬2, 汪洋1
ZHU Wen-tao1, LAN Xian-chao1, LUO Huan-lin1, YUE Bing2, WANG Yang1
摘要: 光学遥感图像飞机目标检测技术已广泛应用于航空交通和军事侦察等领域。针对检测多种不同尺寸飞机时小目标漏检率和虚警率高以及目标定位精度低导致的检测准确率不高的问题,文中在Faster R-CNN算法的基础上提出了一种基于双线性插值的改进ROI pooling方案,用于飞机目标检测,解决了两次量化导致的区域失配问题。实验结果表明,改进方法取得了AP(IOU≤0.5)为95.35%的检测性能,在针对多尺寸飞机检测的任务中,提高了目标定位精度和平均准确率。
中图分类号:
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