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Proceedings Paper

FOPEN radar ATR using superresolution and Fishertemplates
Author(s): Ravi B. Ravichandran; Raman K. Mehra
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Paper Abstract

An ATR algorithm based on Fishertemplates was applied to FOPEN SAR data, resulting in very good classification results. Along with applying ATR to the single polarization case, we also investigated the effects of superresolution and the combining of polarizations on ATR classification performance. For the multiple polarization cases, we compare the results to the average single polarization case (74% classification rate without superresolution and 82% classification rate with superresolution). (1) Polarizations combined via the PWF did not aid ATR, in fact it had an adverse effect on the classification rates. (2) The results based on combining via voting showed a marginal improvement for data with superresolution (85%) and showed detriment for data without superresolution (67%). (3) The results based on combining in data space, the results were on par for the case with superresolution (82%), for the case without superresolution, combining all three polarization and combining HH and VV had a significant improvement, with results on par with superresolution (83%), but combining HH/HV and VV/HV remained on par with the case with no superresolution. But, it is noted that combining in data space is a computationally expensive operation. (4) The results based on combining in feature space were on par for the case with superresolution (83%) and the case without superresolution (75%). Based on these investigations, we can summarize the results as follows: (1) superresolution improves the classifications rates for the single polarization case, (2) the use of superresolution and multiple (two or three) polarizations do not have any advantage over using superresolution alone, and finally, (3) the combinations of all three polarizations (without superresolution) does improve the classification rates over the single polarization case.

Paper Details

Date Published: 13 August 1999
PDF: 8 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357642
Show Author Affiliations
Ravi B. Ravichandran, Scientific Systems Co., Inc. (United States)
Raman K. Mehra, Scientific Systems Co., Inc. (United States)

Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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