Poster + Paper
7 June 2024 A newly developed method for georegistration of synthetic aperture radar imagery
Aimee Shore, Joshua Tellez, R. Derek West, Frederick W. Koehler, Wade Schwartzkopf
Author Affiliations +
Conference Poster
Abstract
Georegistration of synthetic aperture radar (SAR) images is an ongoing problem. We present a SAR-sensor independent method that enables assessment of image geolocation accuracy at nearly any terrestrial scene location. To achieve this, a collected image is co-registered against a global reference image set, such as the high-fidelity X-band RCS layer of the TanDEM-X High Resolution Elevation Data Exchange Program (TREx) data set, which has well-characterized horizontal and vertical errors. Measuring sensor geolocation accuracy against a high-fidelity broad-area reference set can mitigate the effect of location errors that, if left uncorrected, may have a deleterious impact on downstream applications. In particular, the proposed method could help automate the assessment and quality control of existing and emerging constellations of commercial satellite systems. Our co-registration approach first applies a pre-warp operation that exhausts known SICD (Sensor Independent Complex Data) metadata from a collected image to get within the neighborhood of the true geolocation in the reference image. Then we attain a fine scale registration through local feature detection and extraction, via an established computer vision algorithm. Finally, we compute a similarity transformation on matching points between the test and reference images; the transformation includes translation values, which are used for assessing geolocation accuracy, as well as scale and rotation estimates that are used for a confidence measure.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Aimee Shore, Joshua Tellez, R. Derek West, Frederick W. Koehler, and Wade Schwartzkopf "A newly developed method for georegistration of synthetic aperture radar imagery", Proc. SPIE 13048, Radar Sensor Technology XXVIII, 1304810 (7 June 2024); https://doi.org/10.1117/12.3012622
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KEYWORDS
Error analysis

Synthetic aperture radar

Image segmentation

Detection and tracking algorithms

Sensors

Wavefronts

Image resolution

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