首页> 外文会议>Conference on Applied Optics and Photonics China >Design of Elimination Image Rotation Algorithm Based on Photoelectric Tracking Platform
【24h】

Design of Elimination Image Rotation Algorithm Based on Photoelectric Tracking Platform

机译:基于光电跟踪平台的消除图像旋转算法设计

获取原文

摘要

The photoelectric tracking platform is often installed in various military and civilian equipment such as unmanned aerial vehicles, and has multiple high-precision detection and tracking equipment such as visible light and infrared thermal imaging cameras. In the detection process of various detection imaging systems, because the optical detection equipment is fixed on a carrier aircraft such as an unmanned aerial vehicle, the imaging system often rotates the detection image due to the rolling, pitch and yaw movement of itself and the carrier. In this regard, this article will analyze the principle of the image rotation problem caused by the photoelectric tracking platform in the detection and tracking of the target, and design an algorithm to eliminate the image rotation. First of all, this article clearly understands the purpose and indicators of rotation, carefully analyzes the reasons for the problem of image rotation, improves the definition of the relevant coordinate system and the relationship between them, and finally derives the value of the image rotation angle and performs the operation of eliminating the image rotation. And image post-processing operations. After testing, the designed algorithm can solve the problem of rotation of the image presented by the photoelectric tracking platform, and the processed image is easier to observe and capture manually or by related algorithms.
机译:光电跟踪平台通常安装在各种军用和平民设备,如无人驾驶车辆,并且具有多种高精度检测和跟踪设备,如可见光和红外热成像相机。在各种检测成像系统的检测过程中,因为光学检测设备固定在诸如无人驾驶飞行器的载体飞机上,所以成像系统通常由于其自身和载体的滚动,俯仰和偏航运动而旋转检测图像。在这方面,本文将分析由光电跟踪平台在检测和跟踪目标中引起的图像旋转问题的原理,并设计一种消除图像旋转的算法。首先,本文清楚地了解旋转的目的和指标,仔细分析了图像旋转问题的原因,提高了相关坐标系的定义和它们之间的关系,最后导出了图像旋转角度的值并执行消除图像旋转的操作。和图像后处理操作。在测试之后,设计的算法可以解决光电跟踪平台呈现的图像的旋转问题,并且处理的图像更容易观察和手动捕获或通过相关算法捕获。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号