南京航空航天大学学报（英文版）2020，Vol.37Issue(4)：517-527,11.
一种基于鹰视觉的雾霾天气无人机编队目标检测方法
Eagle?Vision?Based Object Detection Method for UAV Formation in Hazy Weather
摘要
Abstract
Inspired by eagle's visual system,an eagle?vision?based object detection method for unmanned aerial vehicle (UAV) formation in hazy weather is proposed in this paper. To restore the hazy image,the values of atmospheric light and transmission are estimated on the basis of the signal processing mechanism of ON and OFF channels in eagle's retina. Local features of the dehazed image are calculated according to the color antagonism mechanism and contrast sensitivity function of eagle's visual system. A center?surround operation is performed to simulate the response of reception field. The final saliency map is generated by the Random Forest algorithm. Experimental results verify that the proposed method is capable to detect UAVs in hazy image and has superior performance over traditional methods.关键词
目标检测/鹰视觉系统/无人机编队/图像去雾Key words
object detection/eagle visual system/UAV formation/image dehazing分类
信息技术与安全科学引用本文复制引用
李皓,邓亦敏,徐小斌,孙永斌,魏晨..一种基于鹰视觉的雾霾天气无人机编队目标检测方法[J].南京航空航天大学学报（英文版）,2020,37(4):517-527,11.基金项目
This work was partially supported by the Science and Technology Innovation 2030?Key Projects (Nos. 2018AAA0102303,2018AAA0102403) （Nos. 2018AAA0102303,2018AAA0102403）
the Aero?nautical Science Foundation of China (No. 20175851033) （No. 20175851033）
and the National Natural Science Foundation of China(Nos. U1913602,U19B2033,91648205,61803011). （Nos. U1913602,U19B2033,91648205,61803011）
