An optimization method for registration and mosaicking of remote sensing images |
| |
Authors: | Jinwei Chen Huajun FengKecheng Pan Zhihai XuQi Li |
| |
Institution: | State Key Laboratory of Modern Optical Instrumentation, No. 38, Zheda Road, West Lake District, Hangzhou City, Zhejiang Province 310027, China |
| |
Abstract: | An optimization method for registration and mosaicking of remote sensing images has been proposed. More than four pairs of control points extracted by scale invariant feature transform (SIFT) detector have been used to obtain the projective transformation relation between the reference image and text image. A method based on gradient information of the region has been proposed to assign the weighted value to the feature points. The weighted value reflects the importance of the area, which can change the result of optimization. The combination method of seam cutting and feathering technique is used to stitch two overlapped images. Our experiment shows that the alignment error of interest area is smaller than that of normal area. If the weighted parameter is given proper value, the alignment error of interest area can reduced to less than one pixel. |
| |
Keywords: | SIFT detector Projective transformation Gradient information Seam cutting Feathering technique |
本文献已被 ScienceDirect 等数据库收录! |