One novel dimensional reduction method based on manifold modeling is applied on Rice single pixel camera for targets classification. The number of measurements is at least halved compared with equivalent classification result via random projections.
© 2013 OSA
Y. Li, C. Hegde, R. G. Baraniuk, and K. F. Kelly, "Compressive Classification via Secant Projections," in Imaging and Applied Optics, OSA Technical Digest (online) (Optical Society of America, 2013), paper CTu1C.3.
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