Description of Salient Features Combined with Local Self-Similarity for SAR Image Registration

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• 作者：Lijuan Yang ; Zheng Tian ; Wei Zhao…
• 关键词：Local self similarity ; SAR ; Image registration ; Salient image disk
• 刊名：Journal of the Indian Society of Remote Sensing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：45
• 期：1
• 页码：131-138
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth Sciences, general; Remote Sensing/Photogrammetry;
• 出版者：Springer India
• ISSN：0974-3006
• 卷排序：45

文摘

Local feature descriptor plays an important role in image representation and is helpful to further image processing. This paper proposes a local feature descriptor based registration method for synthetic aperture radar (SAR) images. The proposed method starts with identifying evenly distributed features by applying the divided salient image disk (SID) extraction method. To describe the shape content of local neighborhood, local self-similarity (LSS) descriptor is built in the local normalized region with a suitable size for every detected feature. Finally, the correspondence is found by measuring the similarity between LSS descriptors. The registration experiments on SAR images demonstrate that the proposed method can be applied to SAR image registration.