Automated airborne EM anomaly picking and 3D model fitting
نویسندگان
چکیده
منابع مشابه
PFfit: Fitting Atomic Structures in 3D EM
Motivation. We develop a new generalized framework for fitting crystal structures into density maps. The framework includes three new scoring functions that quantify the goodness of fit between the crystal structure and density map: (A) the scattering potential score, which is based on using a more realistic representation of the input crystal structure in terms of the density map, (B) the non-...
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We develop a hierarchical solution (PFfit) for fitting an atomic structure to a density map. We use scoring functions that account for steric clashes while maximizing the degree of fit between the protein and the density map, a non-uniform rotationally exhaustive Fourier-based search scheme, and a flexibility model that parametrizes shear and hinge bending motions available to each protein doma...
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Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...
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SUMMARY PONDEROSA (Peak-picking Of Noe Data Enabled by Restriction of Shift Assignments) accepts input information consisting of a protein sequence, backbone and sidechain NMR resonance assignments, and 3D-NOESY ((13)C-edited and/or (15)N-edited) spectra, and returns assignments of NOESY crosspeaks, distance and angle constraints, and a reliable NMR structure represented by a family of conforme...
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ژورنال
عنوان ژورنال: ASEG Extended Abstracts
سال: 2015
ISSN: 2202-0586
DOI: 10.1071/aseg2015ab111