Orientation aware vehicle detection in aerial images
Orientation aware vehicle detection in aerial images
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DOI：
10.1049/el.2017.2087
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发表时间：
2017-09
影响因子：
1.1
通讯作者：
Hailing Zhou;Lei Wei;D. Creighton;S. Nahavandi
中科院分区：
文献类型：
--
作者：
Hailing Zhou;Lei Wei;D. Creighton;S. Nahavandi
航空遥感图像中的车辆检测是遥感领域的一个重要研究课题。许多方法，如基于滑动窗口的检测已被成功开发。提出了一种简单有效的改进机制。航空影像中的车辆通常以任意方向出现。以往的算法需要在一个像素上重复搜索所有可能的方向，这往往会带来虚警和计算复杂度增加的问题。为了解决这个问题，图像局部方向被引入到检测中，为每个像素提供适当的搜索方向。在公共数据库、无人机（UAV）和卫星图像上的实验结果证明了该方法的有效性，并与现有技术进行了比较。
Vehicle detection in aerial images is of great interest in the field of remote sensing. Many methods such as the sliding-window-based detection have been successfully developed. A simple and effective mechanism to improve the existing methods is proposed. Vehicle in aerial images usually appears in arbitrary directions. Previous algorithms need to repeat the search at a pixel with all the possible orientations, which often bring the problem of increasing false alarms and computational complexity. To solve this problem, image local orientation is introduced into detection that provides a proper search direction for each pixel. Experimental results on a public database, unmanned aerial vehicle (UAV) and satellite images demonstrate the effectiveness and promising improvements in comparison with existing techniques.