Paper
24 August 2006 Exploitation of target shadows in synthetic aperture radar imagery for automatic target recognition
John A. Saghri, Andrew DeKelaita
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Abstract
The utility of target shadows for automatic target recognition (ATR) in synthetic aperture radar (SAR) imagery is investigated. Although target shadow, when available, is not a powerful target discriminating feature, it can effectively increase the overall accuracy of the target classification when it is combined with other target discriminating features such as peaks, edges, and corners. A second and more important utility of target shadow is that it can be used to identify the target pose. Identification of the target pose before the recognition process reduces the number of reference images used for comparison/matching, i.e., the training sets, by at least fifty percent. Since implementation and the computation complexity of the pose detection algorithm is relatively simple, the proposed two-step process, i.e., pose detection followed matching, considerably reduces the complexity of the overall ATR system.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John A. Saghri and Andrew DeKelaita "Exploitation of target shadows in synthetic aperture radar imagery for automatic target recognition", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631212 (24 August 2006); https://doi.org/10.1117/12.684401
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Automatic target recognition

Target recognition

Synthetic aperture radar

Detection and tracking algorithms

Image processing

Target detection

Radar

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