现代电子技术2026，Vol.49Issue(17)：53-57,64,6.DOI:10.16652/j.issn.1004-373X.2026.17.009
基于Top-Hat变换与SVM的无人机红外目标检测
Infrared UAV target detection based on Top-Hat transform and SVM
摘要
Abstract
In view of the low contrast,high real-time property requirements,and limited embedded platform resources in infrared UAV target detection,this paper designs an embedded infrared target detection system based on Zynq XC7Z035 SoC.The system adopts an ARM-FPGA collaborative architecture,where the FPGA implements infrared video data acquisition,video direct memory access(VDMA)high-speed transmission,and video stream output,while the ARM runs a customized embedded Linux system integrated with a streamlined OpenCV library.A lightweight detection algorithm based on Top-Hat transform and support vector machine(SVM)classifier is developed.The algorithm enhances small target features and suppresses background interference by morphological Top-Hat transform.A linear kernel SVM is employed for target classification,and the detection stability is further improved by combining non-maximum suppression(NMS)and temporal filtering.The test results demonstrate that the system achieves a comprehensive detection success rate of 91.3%under various background conditions,while maintaining a real-time processing speed of 31 fps with guaranteed detection accuracy.This study provides an effective solution to balance recognition precision and computational efficiency in infrared target detection.关键词
红外图像处理/无人机目标检测/Top-Hat变换/SVM分类器/Zynq/嵌入式系统设计Key words
infrared image processing/UAV target detection/Top-Hat transform/SVM classifier/Zynq/embedded system design分类
信息技术与安全科学引用本文复制引用
吴其琦,粟宁波,杨剑锋,吴和龙,董成举..基于Top-Hat变换与SVM的无人机红外目标检测[J].现代电子技术,2026,49(17):53-57,64,6.基金项目
北京理工大学自主智能无人系统全国重点实验室开放基金(ZZKF2024-1-5) （ZZKF2024-1-5）
