We utilize eight circular passes of measured airborne X-Band radar data to form a novel reflectivity surface
estimate. Our previous work demonstrated reflectivity surface estimation from narrow aperture multi-pass data
and this work extends those results to wide apertures. Narrow aperture surface estimates are co-registered in the
three spatial dimensions and combined non-coherently to form a wide-aperture data product. For the purpose
of visually conveying the scene reflectivity content a surface is formed from the wide angle data product. The
subject of this work is not on the optimality of the methods nor the global convexity of the cost functions.
Instead, these results give us one of the first glimpses at measured wide angle three dimensional SAR image
products and provide a qualitative benchmark against which to measure future wide angle three dimensional
synthetic aperture radar autofocus and imaging algorithms.
Three dimensional (3D) autofocus remains a significant challenge for the development of practical 3D multipass
radar imaging. The current 2D radar autofocus methods are not readily extendable across sensor passes. We
propose a general framework that allows a class of data adaptive solutions for 3D auto-focus across passes with
minimal constraints on the scene contents. The key enabling assumption is that portions of the scene are sparse
in elevation which reduces the number of free variables and results in a system that is simultaneously solved
for scatterer heights and autofocus parameters. The proposed method extends 2-pass interferometric synthetic
aperture radar (IFSAR) methods to an arbitrary number of passes allowing the consideration of scattering from
multiple height locations. A specific case from the proposed autofocus framework is solved and demonstrates
autofocus and coherent multipass 3D estimation across the 8 passes of the "Gotcha Volumetric SAR Data Set"
X-Band radar data.
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