Results 11 to 20 of about 14,989,965 (288)
The Large Scale Structure of Space-Time
, 2023 First published in 1973, this influential work discusses Einstein's General Theory of Relativity to show how two of its predictions arise: first, that the ultimate fate of many massive stars is to undergo gravitational collapse to form 'black holes'; and
S. Hawking, G. Ellis
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Occurrence frequency of subcritical Richardson numbers assessed by global high-resolution radiosonde and ERA5 reanalysis [PDF]
Atmospheric Chemistry and Physics, 2023 Kelvin–Helmholtz instability (KHI) is most likely to be the primary source for clear-air turbulence, which is of importance in pollution transfer and diffusion and aircraft safety. It is indicated by the critical value of the dimensionless Richardson (Ri)
J. Shao +6 more
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Earth and Space Science, 2021 Precipitation anomaly grades are usually defined by the percentage anomaly (Pa) or probability distribution (Pd) methods. However, the difference between the two may lead to different estimates for the same events, creating difficulty in judging the ...
Yayu Ma +3 more
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Application of Improved KAZE Algorithm in Image Feature Extraction and Matching
IEEE Access, 2023 Intelligent navigation and recognition technology have continuously improved the field of image matching, so how to achieve more efficient and accurate feature matching is the key to image processing.
Peipei Zhang, Xin'e Yan
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Intrinsic Image Transformation via Scale Space Decomposition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We introduce a new network structure for decomposing an image into its intrinsic albedo and shading. We treat it as an image-to-image transformation problem and explore the scale space of the input and output.
Lechao Cheng +2 more
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The Active Segmentation Platform for Microscopic Image Classification and Segmentation
Brain Sciences, 2021 Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
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Journal of Mathematical Imaging and Vision, 2001 We investigate the deep structure of a scale space image. We concentrate on scale space critical points—points with vanishing gradient with respect to both spatial and scale direction. We show that these points are always saddle points. They turn out to be extremely useful, since the iso-intensity manifolds through these points provide a scale space ...
Kuijper, Arjan +2 more
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Characteristic Scales, Scaling, and Geospatial Analysis [PDF]
Cartographica, 2021, 56(2): 91-105, 2020 Geographical phenomena fall into two categories: scaleful phenomena and scale-free phenomena. The former bears characteristic scales, and the latter has no characteristic scale. The conventional quantitative and mathematical methods can only be effectively applied to scaleful geographical phenomena rather than the scale-free geographical phenomena.
arxiv +1 more source
Molecules, 2021 In this work, spherical flower-shaped composite carbonyl iron powder@MnO2 (CIP@MnO2) with CIP as the core and ultrathin MnO2 nanosheets as the shell was successfully prepared by a simple redox reaction to improve oxidation resistance and electromagnetic ...
Zhengwei Qu +12 more
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Volcanism and Deep Structures of the Moon
Space: Science & Technology, 2023 Volcanism is the most important endogenic geological process of the Moon, which is closely related to its internal structure and thermal history. Lunar volcanism is one of the most important topics for lunar science and explorations. Recent lunar orbital
Jiannan Zhao +8 more
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