基于高低频模型的矢量量化图象编码系统(HL-TVQ)

HL-TVQ 图象编码系统,是在图象的高/低频图象模型基础上,对低频图象分量进行变换矢量量化编码,而对高频图象进行空域欠量量化编码。HL-TVQ 编码系统具有压缩比高(在模拟时达到10),恢复图象的视觉效果好,运算复杂度小的特点。本文详细介绍 HL-TVQ的编码过程和原理。     

基于VC++的坦克模拟车驾驶实时控制系统

坦克模拟车驾驶实时控制系统是坦克(分队)作战仿真系统的重要组成部分.结合科研实践,基于Visual C 语言,着重从系统设计原理、系统实现、系统评价等方面进行分析研究,完成代码编写与硬件接口的联接.实践证明,该系统能够实时准确地对驾驶过程中的数据进行采集和处理,且能够逼真地实现对坦克模拟车的驾驶模拟,系统中所创建的类经过重用,也可以在其他坦克模拟系统的开发和研究中使用,且具有较高的参考价值.     

航天测试系统大容量数据处理方法研究

在航天测试系统中,经常需要处理大容量数据。讨论了C语言、C++语言、MFC中文件的操作方法。结合Win32 API相关函数,分析了大容量数据文件的读取、解包、分析等处理方法。在VisualC++6.0编程环境下,根据实际需求编写了数据分析处理软件。经过实验验证和实际数据测试,提出的方法可以有效地对大容量数据文件进行分析、处理,且已成功应用于多个航天测试项目,取得了较为理想的分析结果,为相关测试、试验提供了依据。     

MF-CFI: A fused evaluation index for camouflage patterns based on human visual perception

The evaluation index of camouflage patterns is important in the field of military application. It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism. In order to make the evaluation method more computationally intelligent, a Multi-Feature Camouflage Fused Index (MF-CFI) is proposed based on the comparison of grayscale, color and texture features between the target and the background. In order to verify the effectiveness of the proposed index, eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index (UIQI), Camouflage Similarity Index (CSI) and Structural Similarity (SSIM). Twenty-four different simulated targets are designed in a grassland background, 28 observers participate in the experiment and record the eye movement data during the observation process. The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data, both in the designed digital camouflage patterns and large-spot camouflage patterns. Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception, the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.     

Visual SLAM in dynamic environments based on object detection

A great number of visual simultaneous localization and mapping (VSLAM) systems need to assume static features in the environment. However, moving objects can vastly impair the performance of a VSLAM system which relies on the static-world assumption. To cope with this challenging topic, a real-time and robust VSLAM system based on ORB-SLAM2 for dynamic environments was proposed. To reduce the influence of dynamic content, we incorporate the deep-learning-based object detection method in the visual odometry, then the dynamic object probability model is added to raise the efficiency of object detection deep neural network and enhance the real-time performance of our system. Experiment with both on the TUM and KITTI benchmark dataset, as well as in a real-world environment, the results clarify that our method can significantly reduce the tracking error or drift, enhance the robustness, accuracy and stability of the VSLAM system in dynamic scenes.     

基于数据库的电子对抗作战效能分析系统的设计

介绍了基于数据库的电子对抗作战效能分析系统设计的基本思路.系统采用模块化设计,指挥员可根据不同需要添加或删减模块以达到自己的目的.同时,系统采用了双缓冲读取数据机制,很好地解决了仿真推演所需数据量大与电子对抗作战态势实时显示之间的矛盾,将无形的电磁态势以形象直观的形式显现出来,有助于指挥员加深对电子对抗这种作战手段的理解、战术的运用以及辅助作出正确的决策.     

基于Visual Basic故障诊断专家系统设计

从分析传统专家系统入手,把WINDOWS下的可视化技术和面向对象技术引入到人工智能程序设计中来。讨论了故障树模型的面向对象表示方法及其推理算法。根据雷达故障诊断中的典型故障树,给出了一个基于Visual Basic语言的故障诊断专家系统设计实例。     

计算机档案文件管理系统的设计与实现

计算机的应用和普及对办公自动化起到了极大的推动作用。针对“文档一体化”的提出,档案管理工作的改革需要新的计算机档案文件管理系统。以Visual FoxPro为开发工具,分别从需求分析、系统实现、主要功能设计和系统应用与改进四个角度,对计算机档案文件管理系统进行阐述和研究。     

视景仿真技术与战争实验室

视景仿真技术是新一代仿真技术。介绍了其系统构成及在军事领域的应用,并给出了一个应用实例--战争实验室。     

无人机保距跟踪中的视觉跟踪算法研究

针对固定翼无人机对地面目标进行保距跟踪过程中不能稳定获取目标图像的问题,设计了一种提高视觉目标跟踪稳定性的算法。该算法基于核相关滤波算法,提出了线性旋转子空间的概念,用于估计平面外旋转后的目标图像,在跟踪的过程中通过跟踪效果判断是否对线性旋转子空间进行校正。这种更新机制提高了在相对位置不断变化的情况下视觉跟踪的稳定性和准确性,有效地降低了跟踪漂移的程度。算法在无人机跟踪视角的视觉跟踪数据集中进行了测试,结果显示在跟踪的准确性和鲁棒性上明显好于当前主流跟踪算法。并使用固定翼无人机进行了实机飞行,验证了算法的可行性。