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- W2073014643 abstract "Conventional target recognition approaches for SAR include template matching and feature-based classification.However, unlike visual imagery, Synthetic Aperture Radar (SAR) presents a unique challenge in that manyattributes, such as scattering centers, are extremely pose dependent and wink in and out with even minorviewing geometry changes. This work implements a highly efficient biologically-inspired 3D template-basedapproach, the Map Seeking Circuit (MSC) algorithm, for target recognition in SAR. Instead of exhaustivelysearching a high dimensional state space, the MSC algorithm efficiently searches a superposition hypersurface toestimate target location and 3D pose. Results are shown from applying the algorithm to real SAR datasets." @default.
- W2073014643 created "2016-06-24" @default.
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- W2073014643 date "2011-05-13" @default.
- W2073014643 modified "2023-09-23" @default.
- W2073014643 title "Target classification in synthetic aperture radar using map-seeking circuit technology" @default.
- W2073014643 doi "https://doi.org/10.1117/12.884015" @default.
- W2073014643 hasPublicationYear "2011" @default.
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