Sparsity-driven autofocus for multipass SAR tomography

Muirhead, Fiona; Mulgrew, Bernard; Woodhouse, Iain; Greig, David M

doi:10.1117/12.2194532

Cited by 2 publications

(1 citation statement)

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“…Thus PSs are vital to obtaining a tomographic solution. The novel method for selecting PS pixels by exploiting sparsity 11 does not reject pixels that contain more than one point scatterer in a resolution cell if the contribution is coherent and stable over the stack. This method is suitable for obtaining Dirac-delta functions for the heights of scatterers instead of a full tomographic profile.…”

Section: Persistent Scatterersmentioning

confidence: 99%

Airborne X-band SAR tomography for forest volumes

2016

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We evaluate the usefulness of X-band, airborne (helicopter) data for tomography over forestry regions and discuss the use of compressive sensing algorithms to aid X-band airborne tomography. This work examines if there is any information that can be gained from forest volumes when analysing forestry sites using X-band data. To do so, different forest scenarios were simulated and a fast SAR simulator was used to model airborne multipass SAR data, at X-band, with parameters based on Leonardo's PicoSAR instrument. Model simulations considered varying factors that affect the height determination when using tomography. The main parameters that are considered here are: motion errors of the platform, the spacing of the flight paths, the resolution of the SAR images and plant life being present under the canopy (an understory). It was found that residual motion errors from the airborne platform cause the largest error in the tomographic profile.

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Section: Persistent Scatterersmentioning

confidence: 99%