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作 者:Chenzhong Gao Wei Li
机构地区:[1]School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China [2]Beijing Key Laboratory of Fractional Signals and Systems,Beijing Institute of Technology,Beijing 100081,China
出 处:《Journal of Beijing Institute of Technology》2021年第2期113-124,共12页北京理工大学学报(英文版)
摘 要:This paper aims at providing multi-source remote sensing images registered in geometric space for image fusion.Focusing on the characteristics and differences of multi-source remote sensing images,a feature-based registration algorithm is implemented.The key technologies include image scale-space for implementing multi-scale properties,Harris corner detection for keypoints extraction,and partial intensity invariant feature descriptor(PIIFD)for keypoints description.Eventually,a multi-scale Harris-PIIFD image registration algorithm framework is proposed.The experimental results of fifteen sets of representative real data show that the algorithm has excellent,stable performance in multi-source remote sensing image registration,and can achieve accurate spatial alignment,which has strong practical application value and certain generalization ability.
关 键 词:image registration MULTI-SOURCE remote sensing SCALE-SPACE Harris corner partial intensity invariant feature descriptor(PIIFD)
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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