摘要
文章使用一种基于加速稳健特征和随机抽样一致算法,对航天地基光学设备图像进行配准。配准前,经过三维块匹配滤波降噪和Retinex增强处理,图像质量得到了有效提高。经试验计算,该算法对红外各波段及可见光图像特征点提取配准高效准确,对异源相机成像差异、大气环境变化具有稳健性,能较好地适用于航天试验图像配准,提高航天试验任务执行成效。
In this paper,an speeded-up robust features and random sampling consensus algorithm are used to register the image of space-based optical equipment.Before registration,the image quality is effectively improved after block matching and 3D filtering and Retinex enhancement.The experimental results show that the algorithm is efficient and accurate for feature points extraction and registration of infrared and visible images,and it is robust to image differences of heterogeneous cameras and changes of atmospheric environment.It can be applied to space test image registration and improve the performance of space test tasks.
作者
张建烨
刘佳
梅丽娜
ZHANG Jianye;LIU Jia;MEI Lina(Department of Electronic and Optical Engineering,University of Aerospace Engineering,Beijing 101416,China;Measurement and Test Department of Jiuquan Satellite Launch Center,Korla 841000,China)
出处
《现代信息科技》
2020年第15期12-14,共3页
Modern Information Technology