Multi-source Remote Sensing Image Registration Based on Normalized SURF Algorithm

摘要：

Speeded Up Robust Features (SURF) algorithm is a fast robust local feature matching method. Because of the advantage of invariance of scale and rotation, the SURF algorithm has been widely used in the image registration. However, due to the acquired angle, imaging mode, different resolution, SURF algorithm becomes quite difficult in the image registration. This paper presents a normalized SURF algorithm which can reduce the impact of hue difference between remote sensing images. Combined with the idea of two-way matching, the normalized SURF is able to improve the accuracy of the image registration. The experimental results show the normalized SURF algorithm can keep greater accuracy and relatively higher speed of matching than the original SURF algorithm.

关键词： component normalized SURF Image registration Feature extraction

作者: Wang Kai Cheng Bo Ma Lu Xiaolu Song

作者单位: Center for Earth Observation and Digital Earth Chinese Academy of Science Beijing, China Center for Earth Observation and Digital Earth Chinese Academy of Sciences Beijing, China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 373-377

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）