用光电耦合器件(CCD)获取物体表面反射光的偏振信息,对其进行分析和计算,合成了反映物体表面状态的偏振度图像.在实验室条件下,得到了几组不同物体表面各像点的偏振度,并获得了合成的偏振度图像,结果表明:在普通图像中灰度值之比约为1的两种物体,在偏振度图像中灰度值之比接近2.利用该偏振度图像可以区分普通图像难以区分的不同物体,可应用于军事目标识别与遥感目标识别领域.
Obtained the polarized information of reflected light of object's surface using CCD, by analysis and computation, composed a polarization image. Under the condition of laboratory, gained polarizations of different groups of object, composed polarization image of them. The result shows: The gray's proportion of two objects approaches to 1 in the original image, but in the polarization image, it approaches to 2. Polarization image can be used to distinguish different objects, which can not be distinguished in ordinary image. It can be applied in Military Target Identification and Remote Sensing Target Identification.