摘要
为解决传统光强探测手段难以有效探测和识别伪装网这一难题，基于偏振探测技术搭建了光谱偏振探测成像系统，对南方冬季干枯草地背景下的某林地型和荒漠型数码迷彩伪装网进行了实验研究，获得了400～1000nm波段场景的偏振图像。通过编制的软件对测试结果进行处理分析以提取其中的偏振信息，得到了背景与伪装网偏振度的变化规律。研究结果表明：自然背景与伪装网的偏振特性有较大差别，偏振信息可以增强图像中目标与背景的对比度，提高目标识别的准确率。因此，光谱偏振探测技术可以实现对复杂背景中传统伪装目标的有效探测和识别。
In order to resolve the problem that camouflage net could hardly be detected and identified by the classical means, a spectral polarization detection system was introduced and developed at first. Then the experiment about the woodland and khaki camouflage nets in kraurotic grassplot and soil is made, the polarization images of the target and background at 400 - 1000 nm are obtained. Through the analysis of the experiment ,the change rule of the target and background polarization is discovered. The result shows that the polarization characteristics of camouflage nets are dif- ferent from that of background. As the contrast of target and background can be enhanced by polarization information, the camouflage net can be identified effectively from the image according to polarization information. Therefore, the classical camouflage target in mixed background can be detected and identified effectively by the spectral polarization technique under proper detection condition.
出处
《激光与红外》
CAS
CSCD
北大核心
2013年第11期1260-1264,共5页
Laser & Infrared
基金
安徽省红外与低温等离子体重点实验室主任基金(No.2010A001002D)资助
关键词
伪装网
自然背景
偏振探测
偏振度
camouflage net
background
polarization detection
polarization degree
