Zobrazeno 1 - 6
of 6
pro vyhledávání: '"David R. Twede"'
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX.
In this paper we describe the algorithm for local image reconstructions from global measurements on the Focal Plane Array (FPA). The global measurements may come from a multiplexed imaging and /or convolution-based sampling model. The algorithm consi
Autor:
Andreas F. Hayden, David R. Twede
Publikováno v:
Imaging Spectrometry IX.
Many spectral signature detection algorithms depend on numerically inverting covariance matrices. Hyperspectral data rarely span the full band space because of factors such as sensor noise, numerical round-off, sparse sampling, and band correlation i
Publikováno v:
Imaging Spectrometry IX.
The excitation-emission matrix (EEM) is the luminescence spectral emission intensity of fluorescent compounds as a function of the excitation wavelength. EEMs offer the promise of an additional degree of information for enhanced compound detection an
Autor:
David R. Twede, Andreas F. Hayden
Publikováno v:
SPIE Proceedings.
Hyperspectral data rarely spans the full band space because of factors such as sensor noise, numerical round-off, sparse sampling, and band correlation introduced by data processing. Standard exploitation of data, which often does not consider the po
Autor:
Robert Horvath, Kurt Montavon, Linnea S. Nooden, James A. Nunez, David R. Twede, John W. Salisbury, James A. Wright, Craig R. Schwartz, Arthur C. Kenton, Jack N. Cederquist
Publikováno v:
SPIE Proceedings.
The objective of the US Army Hyperspectral Mine Detection Phenomenology program was to determine if spectral discriminants exist that are useful for the detection of land mines. Statistically significant mine signature data were collected over a wide
Conference
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