A challenge problem for 2D/3D imaging of targets from a volumetric data set in an urban environment

Curtis H. Casteel Jr.; LeRoy A. Gorham; Michael J. Minardi; Steven M. Scarborough; Kiranmai D. Naidu; Uttam K. Majumder

doi:10.1117/12.731457

7 May 2007 A challenge problem for 2D/3D imaging of targets from a volumetric data set in an urban environment

Curtis H. Casteel Jr., LeRoy A. Gorham, Michael J. Minardi, Steven M. Scarborough, Kiranmai D. Naidu, Uttam K. Majumder

Proceedings Volume 6568, Algorithms for Synthetic Aperture Radar Imagery XIV; 65680D (2007) https://doi.org/10.1117/12.731457
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

This paper describes a challenge problem whose scope is the 2D/3D imaging of stationary targets from a volumetric data set of X-band Synthetic Aperture Radar (SAR) data collected in an urban environment. The data for this problem was collected at a scene consisting of numerous civilian vehicles and calibration targets. The radar operated in circular SAR mode and completed 8 circular flight paths around the scene with varying altitudes. Data consists of phase history data, auxiliary data, processing algorithms, processed images, as well as ground truth data. Interest is focused on mitigating the large side lobes in the point spread function. Due to the sparse nature of the elevation aperture, traditional imaging techniques introduce excessive artifacts in the processed images. Further interests include the formation of highresolution 3D SAR images with single pass data and feature extraction for 3D SAR automatic target recognition applications. The purpose of releasing the Gotcha Volumetric SAR Data Set is to provide the community with X-band SAR data that supports the development of new algorithms for high-resolution 2D/3D imaging.

Citation Download Citation

Curtis H. Casteel Jr., LeRoy A. Gorham, Michael J. Minardi, Steven M. Scarborough, Kiranmai D. Naidu, and Uttam K. Majumder "A challenge problem for 2D/3D imaging of targets from a volumetric data set in an urban environment", Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680D (7 May 2007); https://doi.org/10.1117/12.731457

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