基于改进独特阶数自相似算子的光学与sar图像配准

S. Paul, U. C. Pati
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引用次数: 6

摘要

获得足够数量的匹配对是光学与合成孔径雷达(SAR)图像配准的主要挑战。近年来,提出了一种基于不同阶数的自相似算子(DOBSS)用于光学图像的配准。本文提出了一种改进的基于不同阶数的自相似度(M-DOBSS)方法,用于光学图像和SAR图像的配准。所提出的M-DOBSS比标准DOBSS算子具有更高的独特性。它可以显著增加光学图像与SAR图像之间的匹配对数。在不同光学sar图像对上的实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical-to-SAR Image Registration Using Modified Distinctive Order Based Self-Similarity Operator
Availability of the sufficient number of matching pairs is the major challenge for optical to SAR (Synthetic Aperture Radar) image registration. Recently, a distinctive order based self-similarity operator (DOBSS) has been proposed to register the optical images. In this paper, a modified version of the distinctive order based self-similarity (M-DOBSS) is proposed to register the optical and SAR images. The proposed M-DOBSS provides more distinctiveness than the standard DOBSS operator. It can significantly increase the number of matching pairs between the optical and SAR images. Experiments on different sets of optical-SAR image pairs demonstrates the effectiveness of the proposed method.
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