&lt;title&gt;Automatic detection and cueing for foliage-concealed targets&lt;/title&gt;

MacDonald, D.; Chang, Chao‐Kai; Román, Juan Félix; Koesel, Richard

doi:10.1117/12.242032

Cited by 6 publications

(3 citation statements)

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“…Appropriately chosen empirical features potentially offer greater robustness to variations in clutter and target structure than those based on explicit statistical or phenomenological models. Two empirical-feature-based approaches to FOPEN target detection using empirical features are outlined in [21] and [17]. The authors of [21] suggest a target detector based on the ratios of the returns in different polarization channels.…”

Section: Approaches To Fopen Target Detectionmentioning

confidence: 99%

“…Two empirical-feature-based approaches to FOPEN target detection using empirical features are outlined in [21] and [17]. The authors of [21] suggest a target detector based on the ratios of the returns in different polarization channels. Unfortunately, only anecdotal evidence is presented for the utility of these features.…”

Section: Approaches To Fopen Target Detectionmentioning

confidence: 99%

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The Use of Multiple-Polarization Data in Foliage Penetrating (FOPEN) Synthetic Aperture Radar (SAR) Applications

Richards¹

2002

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Foliage penetrating (FOPEN) synthetic aperture radar (SAR) systems are capable of producing images of targets concealed under a foliage canopy. The quality and interpretability of these images, however, is generally limited by dense foliage clutter and by fundamental foliage-induced image degradation. Use of a polarimetric SAR to provide multiple polarization channels can mitigate these effects by offering target and scene information beyond that provided by a single-polarization SAR. This paper presents the results of a literature survey to investigate the use of multiple-polarization data in conjunction with FOPEN SAR applications. The effects of foliage propagation on SAR image quality are briefly summarized. Various approaches to multiple-polarizationbased FOPEN target detection are described. Although literature concerning FOPEN target recognition is scarce, the use of multiple-polarization data for in-the-clear target recognition is described. The applicability of various target detection and recognition applications for use with concealed target SAR (CTSAR) imagery is considered.

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Section: Approaches To Fopen Target Detectionmentioning

confidence: 99%

Section: Approaches To Fopen Target Detectionmentioning

confidence: 99%

The Use of Multiple-Polarization Data in Foliage Penetrating (FOPEN) Synthetic Aperture Radar (SAR) Applications

Richards¹

2002

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“…The processing of such data to produce imagery is detailed elsewhere [1]. Prior work on object detection in FOPEN data has used contrast box methods [2], split aperture techniques [3J, use of polarization information [4,5], and other techniques.…”

Section: Introductionmentioning

confidence: 99%

<title>Distortion-invariant filters for foliage-penetration (FOPEN) synthetic aperture radar</title>

Casasent

Cox

1998

SPIE Proceedings

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New distortion-invariant filters are considered for object detection and clutter rejection in ultrawideband synthetic aperture radar (SAR) imagery. Because of the foliage penetration (FOPEN) ability of this SAR sensor, the data is attractive for automatic target recognition (ATR). We detail the first use of 2-D distortion-invariant filters for object detection in FOPEN data. Since FOPEN imagery of a particular target is dependent upon the foliage obscuring the object, we use filters designed using targets in an open area and test them on objects in foliage. Initial results indicate attractive distortioninvariant detection and low false alarm rates.

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