Optical display for radar sensing

Harold Szu; Charles Hsu; Jefferson Willey; Joseph Landa; Minder Hsieh; Louis V. Larsen; Alan T. Krzywicki; Binh Q. Tran; Philip Hoekstra; John T. Dillard; Keith A. Krapels; Michael Wardlaw; Kai-Dee Chu

doi:10.1117/12.2176082

3 June 2015 Optical display for radar sensing

Harold Szu, Charles Hsu, Jefferson Willey, Joseph Landa, Minder Hsieh, Louis V. Larsen, Alan T. Krzywicki, Binh Q. Tran, Philip Hoekstra, John T. Dillard, Keith A. Krapels, Michael Wardlaw, Kai-Dee Chu

Author Affiliations +

Proceedings Volume 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII; 94960G (2015) https://doi.org/10.1117/12.2176082
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

Boltzmann headstone S = k_B Log W turns out to be the Rosette stone for Greek physics translation optical display of the microwave sensing hieroglyphics. The LHS is the molecular entropy S measuring the degree of uniformity scattering off the sensing cross sections. The RHS is the inverse relationship (equation) predicting the Planck radiation spectral distribution parameterized by the Kelvin temperature T. Use is made of the conservation energy law of the heat capacity of Reservoir (RV) change T Δ S = -ΔE equals to the internal energy change of black box (bb) subsystem. Moreover, an irreversible thermodynamics Δ S > 0 for collision mixing toward totally larger uniformity of heat death, asserted by Boltzmann, that derived the so-called Maxwell-Boltzmann canonical probability. Given the zero boundary condition black box, Planck solved a discrete standing wave eigenstates (equation). Together with the canonical partition function (equation) an average ensemble average of all possible internal energy yielded the celebrated Planck radiation spectral (equation) where the density of states (equation). In summary, given the multispectral sensing data (equation), we applied Lagrange Constraint Neural Network (LCNN) to solve the Blind Sources Separation (BSS) for a set of equivalent bb target temperatures. From the measurements of specific value, slopes and shapes we can fit a set of Kelvin temperatures T’s for each bb targets. As a result, we could apply the analytical continuation for each entropy sources along the temperature-unique Planck spectral curves always toward the RGB color temperature display for any sensing probing frequency.

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Harold Szu, Charles Hsu, Jefferson Willey, Joseph Landa, Minder Hsieh, Louis V. Larsen, Alan T. Krzywicki, Binh Q. Tran, Philip Hoekstra, John T. Dillard, Keith A. Krapels, Michael Wardlaw, and Kai-Dee Chu "Optical display for radar sensing", Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 94960G (3 June 2015); https://doi.org/10.1117/12.2176082

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KEYWORDS

Microwave radiation

Radar

RGB color model

Scattering

Signal to noise ratio

Surveillance

Thermodynamics

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