海上作战中航拍影像虚拟生成仿真研究

Simulation and Research on the Virtual Creation of Aerial Image in the Naval Warfare

海战中的航拍是个动态移动的过程,为了得到全面的数据,需要在同一区域反复拍摄,航拍影像都是随机拍摄的,形成大量的角度、方向等重叠的海量影像。采用传统的模拟影像生成方法时,需要对影像进行特征筛选和最优角度的区分,需要进行大量的迭代计算,导致航拍影像虚拟生成不清晰的问题。为提高影像的清晰度,提出基于最优熵阈值与最大类间方差的海上作战中航拍影像虚拟生成算法。根据航拍影像的灰度阀值进行分割,引入最大类间方差方法,计算航拍影像最大灰度值和最小灰度值,获取目标像素和背景像素的类内中心,进行不同角度的准确分类,获取对应的聚类函数,利用最小高频系数对目标物体的细节进行准确描述,获取逼真的虚拟生成作战场景图像。实验结果表明,利用改进算法进行海上作战中航拍影像模拟作战场景生成,能够生成逼真的作战场景。

Aerial photography in naval warfare is a dynamic moving process,in order to get comprehensive data,it needs to be taken repeatedly in the same area.The aerial images are taken randomly,to form massive images with overlapping on the angle and direction and so on.When using the traditional simulation image creation method,it needs to make the feature selection and the optimal angle distinction for image,and needs a lot of iterative calculation,resulting in the problem of unclear aerial image by virtual creation.In order to improve the resolution of image,a virtual creation algorithm of aerial image in naval warfare based on the optimal entropy threshold and the maximum between-cluster variance is proposed.Based on the gray-level threshold of aerial image,it is made segmentation.By introducing the maximum between-cluster variance method,the maximum and minimum gray-level values of aerial image are calculated,to obtain the intra-class centers of the target pixels and background pixels,and then make accurate classification of different angle,to obtain the corresponding clustering function.Using the minimum high frequency coefficient makes accurate description of the detail of the target object,to obtain realistic operating scenery image by virtual creation.Experimental results show that using the improved algorithm for simulation operating scenery creation of aerial image in naval warfare,can generate realistic operating scenery.