文章基本信息

标题：SATELLITE IMAGE CO-REGISTRATION BASED ON HYBRID INVARIANT LOCAL FEATURES
本地全文：下载
作者：R. SWATHI ; DR. A. SREENIVAS
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：15
页码：3432
出版社：Journal of Theoretical and Applied
摘要：It is a challenging task to attain significant automatic registration between the two satellite images due to variation in illumination and resolution of the images, dissimilar perspectives and the local deformations within the image. These concerns are rectified by an automatic registration scheme depends on a hybrid invariant feature combination of both Speeded-Up Robust Features (SURF) and Binary Robust Invariant Scalable Keypoints (BRISK). In the registration procedure, this feature combination speeds up the feature extraction and matching. Here, it makes the matching point pairs distributed consistently in satellite images and also further enhance the accuracy of input image rectification. Experimental results proves that the proposed scheme is very superior in Image Registration (IR) than the existing methods.
关键词：Automatic registration; Binary Robust Invariant Scalable Keypoints; Coarse matching; Speeded-Up Robust Features