镀膜双镜头多光谱相机的波段配准方法

A new band registration method for coated dual-lens multispectral camera

针对镀膜双镜头多光谱相机波段多、数据量大、配准流程复杂的问题,提出一种基于改进SURF算法的快速配准方法。该方法首先完成对各波段图像的预处理,采用数字畸变模型采样法对各波段影像畸变进行校正;然后对畸变改正后的各波段图像利用快速版的SURF算法(F-SURF)进行配准。F-SURF算法从3个方面对原SURF算法进行改进,包括:依照匹配贡献度优化算法组数设置、舍弃算法旋转不变性以及引入渐进采样一致法进行特征点匹配等。通过地面及飞行实验数据进行算法验证,结果表明改进算法的配准精度优于经典SURF算法,且时间效率显著提升。

In order to solve the problem of band registration of coated dual lens multispectral camera,a fast registration method based on improved SURF(speeded up robust features)algorithm is proposed.Firstly,the distortion of each band image is corrected.Then,the fast version of SURF algorithm(F-SURF)is used to register the undistorted band images.Compared with the original SURF algorithm,the F-SURF algorithm optimizes the number of octave,discards the rotation invariance and introduces the PROSAC algorithm.The experimental results indicate that the registration accuracy of the F-SURF algorithm is better than that of the classic SURF algorithm,and the time efficiency is significantly improved.