Comparisons of target detection in clutter using data from the 1993 FOPEN experiments

Edwin M. Winter; Michael J. Schlangen; Clark R. Hendrickson

doi:10.1117/12.177176

9 June 1994 Comparisons of target detection in clutter using data from the 1993 FOPEN experiments

Edwin M. Winter, Michael J. Schlangen, Clark R. Hendrickson

Proceedings Volume 2230, Algorithms for Synthetic Aperture Radar Imagery; (1994) https://doi.org/10.1117/12.177176
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

During 1993, a series of experiments were performed under the Advanced Research Projects Agency (ARPA) sponsorship using the SRI ultra-wide band UHF synthetic aperture radar (SAR). These experiments were performed over a variety of clutter backgrounds to assess the foliage penetration capability of the technology and to investigate target detection in clutter. Experiments were conducted observing tropical rain forest backgrounds in Panama, several different desert backgrounds in the Yuma vicinity, and the mid-latitude temperate forest of Maine. SAR images were formed from the raw data using Differential GPS to aid in the focusing. The three locations represent different levels of foliage cover, ranging from the sparsely vegetated desert sites to the triple canopied rain forest. The characteristics of each site are discussed first through a presentation of photography and SAR imagery. The clutter characteristics are studied through a comparison of the cumulative distributions, which are plotted using a variety of conventions. For each case, at least one reference target is included in the test scene. The signal of that target as processed by a common algorithm will be compared to the processed clutter distribution.

Citation Download Citation

Edwin M. Winter, Michael J. Schlangen, and Clark R. Hendrickson "Comparisons of target detection in clutter using data from the 1993 FOPEN experiments", Proc. SPIE 2230, Algorithms for Synthetic Aperture Radar Imagery, (9 June 1994); https://doi.org/10.1117/12.177176

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