Results 231 to 240 of about 43,009 (276)

Machine Vision-Enabled Octahedral Network Reconstruction and Structural Analysis of Perovskite Quantum Dots. [PDF]

ACS Nano
Du G, Zhang H, Bian T, Wang W, Hu L, Liu Y, Zhan Z, Liu S, Li Y, He X, Huang C, Kong Y, Hao L, Wang J, Zhou N, Tu B, Zhu C, Gong JJ, Wu T, Yin J, Lin Z, Cai S.   +21 more
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Defect-Engineered Perovskites: Atomic Scale Nature of A-Site Vacancy-Stabilized Catalytically Active Phase. [PDF]

J Am Chem Soc
Talei R, Mohammadi A, Winterstein TF, Malleier C, Schmitz G, Penner S, Bonmassar N.   +6 more
europepmc   +1 more source

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Numerical Mapping of Arbitrary Domains Using Spectral Methods

Journal of Computational Physics, 1993
The purpose of this paper is to describe a method of solving quasilinear elliptic grid generation equations by spectral techniques. Mathematical analysis and numerical experiments are presented.
Koomullil, G. P., Warsi, Z. U. A.
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Acquisition of multi-spectral flash image using optimization method via weight map

SPIE Proceedings, 2013
To acquire images in low-light environments, it is usually necessary to adopt long exposure times or to resort to flashes. Flashes, however, often induce color distortion, cause the red-eye effect and can be disturbing to the subjects. On the other hand, long-exposure shots are susceptible to subject-motion, as well as motion-blur due to camera shake ...
Bong-Seok Choi, Dae-Chul Kim, Oh-Seol Kwon, Yeong-Ho Ha   +3 more
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Spectral analysis of charcoal on soils: implicationsfor wildland fire severity mapping methods

International Journal of Wildland Fire, 2010
Recent studies in the Western United States have supported climate scenarios that predict a higher occurrence of large and severe wildfires. Knowledge of the severity is important to infer long-term biogeochemical, ecological, and societal impacts, but understanding the sensitivity of any severity mapping method to variations in soil type and ...
Smith, Alistair M.S., Eitel, Jan U. H., Hudak, Andrew T.   +2 more
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Evaluation of spectral CT data acquisition methods via non-stochastic variance maps

SPIE Proceedings, 2015
Recently, photon counting detectors capable of extracting spectral information have received much attention in CT, with promise of using spectral information to construct material basis images, correct beam-hardening artifacts, or provide improved imaging of K-edge contrast agents.
Adrian A. Sanchez, Emil Y. Sidky, Taly Gilat Schmidt, Xiaochuan Pan   +3 more
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Hybrid classification using combination of optimized spectral angle mapping algorithm and interpolation method on multispectral and hyper spectral image

2012 International Conference on Computing, Communication and Applications, 2012
A growing number of studies in recent years has focused on improvement of performance of classification algorithm on hyper-spectral image; this provides a scientific basis for efficient object detection. This paper tries to improve the performance of spectral angle mapping algorithm to classify the hyper-spectral image.
Omprakash W. Tembhurne, L. G. Malik
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The Fourier spectral Poincare map method for damage detection via single type of measurement

Measurement, 2018
Abstract This paper deals with the problem of vibration health monitoring based on Poincare map method, which has been numerically and experimentally verified as an effective tool in damage assessment. We aim to introduce the Fourier-spectral derivative method into the Poincare maps method.
Zhi-Bo Yang, Ya-Nan Wang, Hao Zuo, Xing-Wu Zhang, Yong Xie, Xue-Feng Chen   +5 more
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Application of Spectral Exhaustive Method for Object Identification and Mapping Using EO-1 Hyperion Data

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
Due to the uncertainty of thresholds, different results are often obtained in object identification and classification of the same hyperspectral image. This paper presents a new approach to object identification based on the spectral exhaustive method (SEM).
Yuanjin Xu, Guangdao Hu, Zhijun Chen
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