Dr. Zhipeng Wang Profile

Dr. Zhipeng Wang

Student at Univ of New Mexico

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Publications (5)

Proceedings Article | 4 May 2006 Paper

Feature selection for spectral sensors with overlapping noisy spectral bands

Biliana Paskaleva, Majeed Hayat, J. Scott Tyo, Zhipeng Wang, Monica Martinez

Proceedings Volume 6233, 623329 (2006) https://doi.org/10.1117/12.666773

KEYWORDS: Sensors, Signal to noise ratio, Space sensors, Feature selection, Feature extraction, Optical filters, Algorithm development, Reflectivity, Minerals, Vegetation

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Proceedings Article | 4 May 2006 Paper

Analyzing spectral sensors with highly overlapping bands

Zhipeng Wang, Biliana Paskalova, M. Hayat, J. Scott Tyo

Proceedings Volume 6233, 62330T (2006) https://doi.org/10.1117/12.665742

KEYWORDS: Sensors, Signal to noise ratio, Image processing, Space sensors, Interference (communication), Photodetectors, Spectral models, Algorithm development, Data processing, Image classification

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Proceedings Article | 1 June 2005 Paper

Canonical correlation analysis for assessing the performance of adaptive spectral imagers

Zhipeng Wang, Biliana Paskalova, J. Scott Tyo, M. Hayat

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.610638

KEYWORDS: Sensors, Space sensors, Signal to noise ratio, Imaging spectroscopy, Image processing, Imaging systems, Sensor performance, Photodetectors, Spectral models, Canonical correlation analysis

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Proceedings Article | 29 December 2004 Paper

Quantum dot detectors for mid-infrared sensing: bias-controlled spectral tuning and matched filtering

Unal Sakoglu, Zhipeng Wang, Majeed Hayat, J. Scott Tyo, Senthil Annamalai, Philip Dowd, Sanjay Krishna

Proceedings Volume 5593, (2004) https://doi.org/10.1117/12.571326

KEYWORDS: Sensors, Optical filters, Reconstruction algorithms, Signal to noise ratio, Detection and tracking algorithms, Quantum dots, Image filtering, FT-IR spectroscopy, Spectroscopy, Black bodies

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Quantum-dot infrared photodetectors (QDIPs), based on intersubband transitions in nanoscale self-assembled dots, are perceived as a promising technology for mid-infrared-regime sensing since they are based on a mature GaAs technology, are sensitive to normal incidence radiation, exhibit large quantum confined stark effect that can be exploited for hyperspectral imaging, and have lower dark currents than their quantum well counterparts. High detectivity (D* = 1.0E11 cmHz^1/2/W at 9 microns) QDIPs have been recently shown to exhibit broad spectral responses approximately 2-micron FWHM) with a bias-dependent shift in their peak wavelengths. This controllable, bias dependent spectral diversity, in conjunction with signal-processing strategies, allows us to extend the operation of the QDIP sensors to a new modality that enables us to achieve: (1) spectral tunability (single- or multi-color) in the range 2-12 microns in the presence of the QDIP's dark current; and (2) multispectral matched filtering in the same range. The spectral tuning is achieved by forming an optimal weighted sum of multiple photocurrent measurements, taken of the object to be probed, one for each bias in a set of prescribed operational biases. For each desired spectral response, the number and values of the prescribed biases and their associated weights are tailored so that the superposition response is as close as possible, in the mean-square-error sense, to the response of a sensor that is optically tuned to the desired spectrum. The spectral matching is achieved similarly but with a different criterion for selecting the weights and biases. They are selected, in conjunction with orthogonal-subspace-projection principles in hyperspectral classification, to nullify the interfering spectral signatures and maximize the signal-to noise ratio of the output. This, in turn, optimizes the classification of the objects according to their spectral signatures. Experimental results will be presented to demonstrate the QDIP sensor's capabilities in these new modalities. The effect of dark current noise on the spectral-tuning capability is particularly investigated. Examples of narrowband and wideband multispectral photocurrent synthesis as well as matched filtering are presented.

Proceedings Article | 15 October 2004 Paper

Real-time implementation of matched filtering algorithms using adaptive focal-plane array technology

Zhipeng Wang, Unal Sakoglu, Senthil Annamalai, Nina-Rae Weisse-Bernstein, Philip Dowd, J. Scott Tyo, Majeed Hayat, Sanjay Krishna

Proceedings Volume 5546, (2004) https://doi.org/10.1117/12.560116

KEYWORDS: Sensors, Space sensors, Signal to noise ratio, Staring arrays, Infrared radiation, Photodetectors, Quantum well infrared photodetectors, Infrared photography, Image processing, Spectral resolution

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