光子学报, 2019, 48 (6): 0610002, 网络出版: 2019-07-10  

基于旋转不变特征的遥感图像飞机目标检测方法

Method of Aircraft Target Detection in Remote Sensing Images Based on Rotation-invariant Feature
作者单位
上海海事大学 信息工程学院, 上海 201306
摘要
为了解决在动态飞机监管系统中, 遥感图像飞机多目标检测准确率低的问题, 提出一种目标检测方法.首先引入两种全新的旋转不变性特征, 中心质点角与H向量; 接着对遥感飞机图像进行滑窗检测, 分别计算每一重叠块的中心质点角集、H向量相关系数; 根据模板特征匹配度设计了相应的得分系统, 再结合非极大值抑制等算法确定检测窗口内是否存在飞机.用不同场景下的遥感图像飞机进行多目标检测实验, 结果表明该方法平均F1分数达到90%以上, 相比传统方法, 召回率与查准率更高, 且适用范围更为广泛.
Abstract
To improve the accuracy of the multi-target detection for remote sensing image in the dynamic aircraft supervision system, a target detection method was proposed. First, two new rotation-invariance features, named center-particle angle and H-vector, are introduced. Then, the sliding detection window is used to calculate the center-particle angle and correlation coefficient of H-vector. Also, the corresponding scoring system is designed according to the matching degree of template feature to determine if there is a plane in the detection window under the assistant of non-maximum suppression. The remote sensing images of aircraft under different scenes were detected in experiment, the results show that the average F1-score reaches above 90%, and both of the recall rate and precision are higher than some traditional methods in wider scope of application.

林亿, 赵明, 潘胜达, 安博文. 基于旋转不变特征的遥感图像飞机目标检测方法[J]. 光子学报, 2019, 48(6): 0610002. LIN Yi, ZHAO Ming, PAN Sheng-da, AN Bo-wen. Method of Aircraft Target Detection in Remote Sensing Images Based on Rotation-invariant Feature[J]. ACTA PHOTONICA SINICA, 2019, 48(6): 0610002.

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