一种改进的SURF及其在遥感影像匹配中的应用

A Modified SURF Descriptor and Its Application in Remote Sensing Images Matching

摘要: 从构造特征描述子入手,结合Haar-like特征提出了一种新的SURF特征描述符,并将其应用到遥感影像匹配中,新的描述符增加了对边和对角特征的描述。SURF匹配算法利用了积分图技术,匹配速度快,但是其特征的区分能力相对较弱。实验结果证明,此描述符的区分力优于原SURF描述子。

Abstract: A modified Speeded-up Robust Features(SURF) descriptor based on Haar-like features,line features and diagonal features are added in the descriptor is proposed.Integral images allow fast computation,and are used for matching with SURF.However,the SURF descriptor has a lower discriminating ability when compared with SIFT.Experimental results demonstrate that the modified descriptor has a better discriminating ability compared with SURF descriptor.