基于位平面特征的SAR图像筛选  

SAR images screening based on bit-plane characteristics

作　　者：胡粲彬[1] 刘方[1] 周军红[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,长沙410073

出　　处：《计算机应用》2009年第11期3021-3026,共6页journal of Computer Applications

摘　　要：为了获取含有感兴趣特定目标的SAR图像,根据SAR图像目标的成像特性,提出了一种基于位平面特征的SAR图像筛选方法。在对图像适当的灰度预处理基础上,分析特定目标的先验知识,利用对位平面的复杂度度量、游程度量以及频谱度量,定义了位平面价值度量准则,同时结合图像的灰度直方图特征对图像进行筛选。实验以机场目标为对象对SAR图像进行快速筛选,并对机场目标进行提取,效果良好,能够满足预期的要求。In order to obtain the SAR images which include the typical target of interest, a new method of SAR images screening based on bit-plane characteristics was proposed according to the imaging characteristic of target. Based on the suitable gray pretreatment to the images, the target＇s prior knowledge was analyzed, the significant bit-plane image was paid attention by the measurement of bit-plane complexity, run length and frequency spectrum. And then SAR images were screened combined with the gray histogram features. Around the airport SAR images, experiment shows that the method can screen the images rapidly. Besides, the airport target is extracted successfully, which can satisfy the requirements.

关 键 词：感兴趣区域 灰度直方图 二值分解 灰度编码分解 游程 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]