液晶与显示2017，Vol.32Issue(2)：144-152,9.DOI:10.3788/YJYXS20173202.0144
一种改进的SURF彩色遥感图像配准算法
Improved SURF algorithm for color remote sensing image registration
摘要
Abstract
To further improve the registration precision of color remote sensing image,an improved SURF registration algorithm is put forward aiming at solving the problem of low utilization rate of color information.Firstly,based on the detection of feature points,a modified descriptor was constructed adding in color information got with color space transformation;then the normalized processing for the modified descriptor was done to increase its uniqueness and robustness to rotation,scale and illumination;finally,by trace of Hession matrix to improve precision,the correct matching points could be acquired through the Euclidean distance ratio.And the registered image was obtained based on parameter estimation and interpolation processing.Experimental results show,compared with the original SURF algorithm,that the improved algorithm has certain improvement in terms of accuracy and stability while guaranteeing the real time.It has certain values in both theory and practice.关键词
彩色遥感图像/SIFT/SURF/改进描述符/迹Key words
color remote sensing image/SIFT/SURF/modified descriptor/trace分类
信息技术与安全科学引用本文复制引用
张二磊,马骏,王晓田..一种改进的SURF彩色遥感图像配准算法[J].液晶与显示,2017,32(2):144-152,9.基金项目
航天科技创新基金(No.CASC201105) Supported by Aerospace Science and Technology Innovation Fund (No.CASC201105) （No.CASC201105）
