Robust detection and spectrum estimation of multiple sources from rotating-prism spectrometer images

Deming, Ross; Higbee, Shawn; Dwyer, D.; Welser, Michael E.; Perlovsky, Leonid; Pellegrini, P.W.

doi:10.1117/12.689105

Cited by 9 publications

(5 citation statements)

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“…The above references describe Neural Modeling Fields (NMF), a mathematical procedure that uses dynamic logic (DL) to overcome limitations of computational complexity. Resulting algorithms outperform previous approaches by orders of magnitude ( [29][30][31][32][33]). Whereas classical logic involves crisp statements and thus is a static statement-logic, DL is a process-logic; it involves evolution of mental representations from vague-fuzzy to crisp.…”

Section: Heuristics Vs the Knowledge Instinctmentioning

confidence: 97%

Drive for Creativity

Perlovsky

Levine

2010

The 2010 International Joint Conference on Neural Networks (IJCNN)

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We advance a hypothesis that creativity has evolved with evolution of internal representations, possibly from amniotes to primates, and further in human cultural evolution. Representations separated sensing from acting and gave "internal room" for creativity. To see (or perform any sensing), creatures with internal representations had to modify these representations to fit sensor signals. Therefore the knowledge instinct, KI, the drive to fit representations to the world, had to evolve along with internal representations. Until primates, it remained simple, without language internal representations could not evolve from perceptions to abstract representations, and abstract thoughts were not possible. We consider creative vs. non-creative decision making, and compare KI with Kahneman-Tversky's heuristic thinking. We identify higher, conscious levels of KI with the drive for creativity (DC) and discuss the roles of language and music, brain mechanisms involved, and experimental directions for testing the advanced hypotheses.

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Section: Heuristics Vs the Knowledge Instinctmentioning

confidence: 97%

Drive for Creativity

Perlovsky

Levine

2010

The 2010 International Joint Conference on Neural Networks (IJCNN)

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“…In the following example (preliminary results have been presented in [17]) an elongated object to be detected moves along an unknown path and rotates with unknown speed; exact shape of the object is unknown, and a signal strength is lower than clutter by about 5 times. A sequence of 25 images, 256x256 pixel each, have been available for processing.…”

Section: Examples Of Nmf Object Perceptionmentioning

confidence: 99%

“…As mentioned the models and conditional similarities for this case were described in details in [17]: a uniform model for clutter in 2 dimensions of X(n) = (X, V), is given by…”

Section: Examples Of Nmf Object Perceptionmentioning

confidence: 99%

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The knowledge instinct of autonomous adaptation

Perlovsky

Ilin

2010

The 2010 International Joint Conference on Neural Networks (IJCNN)

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The knowledge instinct (KI) drives autonomous adaptation including the higher cognitive abilities. Neural modeling fields mathematically models KI using dynamic logic (DL), a process "from vague fuzzy to crisp." The paper discusses why this paradigm is necessary mathematically, and relates it to a psychological description of the mind. Recent fMRI measurements confirmed this process in neural mechanisms of perception.

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“…The CTI concept using a two component, direct vision prism was introduced in 1995 by Mooney et al [16][17]. CTI systems operating in the VNIR and Mid IR have explored stationary scenes, or slow moving motor vehicles [18][19] with analysis of some combustion events by only as point sources [20][21]. A non-rotating double Amici prism with coded aperture and band pass filter system has developed for flame imagery at 30 Hz [22].…”

Section: Introductionmentioning

confidence: 99%

Chromotomosynthesis for high speed hyperspectral imagery

Bostick¹,

Perram²

2012

SPIE Proceedings

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A rotating direct vision prism, chromotomosynthetic imaging (CTI) system operating in the visible creates hyperspectral imagery by collecting a set of 2D images with each spectrally projected at a different rotation angle of the prism. Mathematical reconstruction techniques that have been well tested in the field of medical physics are used to reconstruct the data to produce the 3D hyperspectral image. The instrument operates with a 100 mm focusing lens in the spectral range of 400-900 nm with a field of view of 71.6 mrad and angular resolution of 0.8-1.6 μrad. The spectral resolution is 0.6 nm at the shortest wavelengths, degrading to over 10 nm at the longest wavelengths. Measurements using a pointlike target show that performance is limited by chromatic aberration. The accuracy and utility of the instrument is assessed by comparing the CTI results to spatial data collected by a wideband image and hyperspectral data collected using a liquid crystal tunable filter (LCTF). The wide-band spatial content of the scene reconstructed from the CTI data is of same or better quality as a single frame collected by the undispersed imaging system with projections taken at every 1°. Performance is dependent on the number of projections used, with projections at 5° producing adequate results in terms of target characterization. The data collected by the CTI system can provide spatial information of equal quality as a comparable imaging system, provide high-frame rate slitless 1-D spectra, and generate 3-D hyperspectral imagery which can be exploited to provide the same results as a traditional multi-band spectral imaging system. While this prototype does not operate at high speeds, components exist which will allow for CTI systems to generate hyperspectral video imagery at rates greater than 100 Hz. The instrument has considerable potential for characterizing bomb detonations, muzzle flashes, and other battlefield combustion events.

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Robust detection and spectrum estimation of multiple sources from rotating-prism spectrometer images

Cited by 9 publications

References 0 publications

Drive for Creativity

Drive for Creativity

The knowledge instinct of autonomous adaptation

Chromotomosynthesis for high speed hyperspectral imagery

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