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Increasing circular synthetic aperture sonar resolution via adapted wave atoms deconvolution

机译:通过适应的波原子去卷积增加圆形合成孔径声纳分辨率

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Circular Synthetic Aperture Sonar (CSAS) processing computes coherently Synthetic Aperture Sonar (SAS) data acquired along a circular trajectory. This approach has a number of advantages, in particular it maximises the aperture length of a SAS system, producing very high resolution sonar images. CSAS image reconstruction using back-projection algorithms, however, introduces a dissymmetry in the impulse response, as the imaged point moves away from the centre of the acquisition circle. This paper proposes a sampling scheme for the CSAS image reconstruction which allows every point, within the full field of view of the system, to be considered as the centre of a virtual CSAS acquisition scheme. As a direct consequence of using the proposed resampling scheme, the point spread function (PSF) is uniform for the full CSAS image. Closed form solutions for the CSAS PSF are derived analytically, both in the image and the Fourier domain. The thorough knowledge of the PSF leads naturally to the proposed adapted atom waves basis for CSAS image decomposition. The atom wave deconvolution is successfully applied to simulated data, increasing the image resolution by reducing the PSF energy leakage. (C) 2017 Acoustical Society of America.
机译:圆形合成孔径声纳(CSAS)处理计算沿圆形轨迹获取的合成孔径声纳(SAS)数据。该方法具有许多优点,特别是它最大化SAS系统的光圈长度,产生非常高分辨率的声纳图像。然而,使用反投影算法的CSA图像重建在脉冲响应中引入了不对称的,因为成像点远离采集圆的中心。本文提出了一种用于CSA图像重建的采样方案,其允许各个点在系统的完整视野中被视为虚拟CSA采集方案的中心。作为使用所提出的重采样方案的直接后果,点扩展功能(PSF)对于完整的CSA图像是均匀的。 CSAS PSF的闭合表单解决方案分析地导出,无论是在图像和傅立叶域中。 PSF对PSF的全面知识自然地引导到CSA图像分解的所提出的适应原子波基础。原子波解卷积成功应用于模拟数据,通过减少PSF能量泄漏来增加图像分辨率。 (c)2017年声学社会。

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