摘要
SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFAR方法实现目标的恒虚警检测,同时对ROI切片计算鉴别特征,并实现序贯鉴别。最后利用X波段SAR图像数据验证了该文的ROI提取技术,给出了鉴别输出的ROI,处理结果显示该文算法能准确提取车辆目标ROI,有效消除虚警。
ROI extraction is the essential technology for target recognition in SAR image. This paper firstly analyses the difficulties of ROI extraction for vehicle in SAR image, presents its key steps and flow chart. And then an adaptive CFAR method for SAR image target detection based on the ordered data variability index （ODVI） is proposed to improve the performance of detection. The discrimination features are calculated to form the statistic of target discrimination. The ROIs can be discriminated by using orderly the features. Finally, the real X band SAR image data is used as test data for this ROI extraction algorithm, and the discriminating results are shown. The performance of this algorithm is good.
出处
《电子与信息学报》
EI
CSCD
北大核心
2007年第9期2105-2109,共5页
Journal of Electronics & Information Technology
关键词
SAR
感兴趣区域
目标检测
目标鉴别
聚类
SAR
Region of interest （ROI）
Target detection
Target discrimination
Clustering
