基于曲线变换的SAR图像系数特征分析与选择

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI:10.1109/IAEAC.2015.7428722

Huang Shiqi, Su Peifeng

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引用次数: 0

摘要

合成孔径雷达(SAR)成像对方向非常敏感，因此如果从多个方向获得信息，则必须比从单个方向获得的信息更准确、更详细。曲波变换是一种多尺度、多方向的信号处理理论，适用于SAR图像分解。并且可以根据需求提取各个分解后的尺度系数。本文主要讨论了利用曲线理论分解SAR图像时各尺度系数的选择、重组和融合问题。

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Analysis and selection of coefficient feature by curvelet transform for SAR images

Synthetic aperture radar (SAR) imaging is very sensitive to direction, so if the information is obtained from multi-directions, it must be more accurate and more particular than that obtained from single direction. The Curvelet transform is a kind of multi-scale and multi-direction signal processing theory, and it is fit for SAR image decomposition. Moreover, it can extract each decomposed scale coefficient in light of demand. This paper mainly discusses the selection, reorganization and fusion of each scale coefficient for SAR image decomposed by Curvelet theory.

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2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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