一种基于整体区域特征的地面飞机识别方法  

Approach of land aircrafts recognition based on whole region characters

作　　者：王威[1,2] 张连峰[3] 王平[2] 李元垒[3] 

机构地区：[1]长沙理工大学计算机与通信工程学院,长沙410114 [2]国防科技大学ATR国防重点实验室,长沙410073 [3]海军航空工程学院青岛分院,山东青岛266041

出　　处：《计算机工程与应用》2014年第12期155-158,210,共5页Computer Engineering and Applications

基　　金：国家部委预研基金

摘　　要：在遥感图像处理过程中,目前地面目标识别绝大多数采用基于图像分割的方法。这些方法在图像可以较好分割和二值化时可以得到比较理想的效果。但是在处理过程中,有时难以得到理想的分割结果,这必定会影响最终的处理结果。因此,提出一种不需要进行图像分割,而是基于图像整体特征的大型地面飞机识别方法。对飞机先验数据进行分析学习,利用高频信息增强的Gabor滤波器的滤波结果,与经过学习得到的先验数据进行相似性对比进行识别。通过实验对方法进行了验证。In the process of remote sensing images, most of present approaches about the detection and recognition of the targets on the land are based on the region segmentation. These approaches can work well when the images can be segmented well and get the ideal binary images. However, getting the ideal segmentation results is very hard. And this is the main obstacle which will affect the results. So without the image segmentation, this paper proposes an approach of the land aircrafts recognition based on the whole region characters. This paper analyzes the parameter of the interested planes. Then by using the Gabor filter, it recognizes the aircrafts by comparing the information between the candidate and the apriori infor-mation. The experiments validate the proposed approach.

关 键 词：整体区域特征 飞机识别 先验信息 GABOR滤波器 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]