2D and 3D convolutional and correlation SAR imaging

Matthew Pepin

doi:10.1117/12.2551695

24 April 2020 2D and 3D convolutional and correlation SAR imaging

Matthew Pepin

Proceedings Volume 11393, Algorithms for Synthetic Aperture Radar Imagery XXVII; 1139309 (2020) https://doi.org/10.1117/12.2551695
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Synthetic Aperture Radar (SAR) images and volumes may be produced through multiple antenna or multiple pass scenarios. SAR imaging runs a gamut of techniques from convolution of the recieved data with the modeled SAR aperture impulse response to correlation of the spherical wave function with the recieved wave. The former has the advantage that it produces an orthogonal point spread function in each dimension allowing easy decomposition into exponential function model of a waves. The convolution however is only valid around the aim point for a spotlight image. Modications presented here extend the applicable envelope of use. All potential procedures and their sequence of operations are presented and examined for valued aspects including the amenability to decomposition and its validity. The extension from 2D SAR to 3D SAR may also be a¤orded to the production of 2D SAR techniques ranging between the convolution and correlation and intervening techniques with varying measures of success. As in other SAR data collections the aperture may be subsampled with imaging resolution and coverage implications. This range of use including applicable aperture size, sampling rate and squint are explored for 2D and 3D scenarios. 2D and 3D impulse response functions their accuracy and its extent throughout the image or volume are calculated. Example images and SAR image volumes are presented.

Conference Presentation

Citation Download Citation

Matthew Pepin "2D and 3D convolutional and correlation SAR imaging", Proc. SPIE 11393, Algorithms for Synthetic Aperture Radar Imagery XXVII, 1139309 (24 April 2020); https://doi.org/10.1117/12.2551695

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