Zobrazeno 1 - 10
of 62 122
pro vyhledávání: '"hough transform"'
Autor:
Laouamer, Lamri1 (AUTHOR) laoamr@qu.edu.sa, Alswaili, Mohannad1 (AUTHOR)
Publikováno v:
Traitement du Signal. Jun2024, Vol. 41 Issue 3, p1557-1564. 8p.
Automated Detection of Satellite Trails in Ground-Based Observations Using U-Net and Hough Transform
Autor:
Stoppa, F., Groot, P. J., Stuik, R., Vreeswijk, P., Bloemen, S., Pieterse, D. L. A., Woudt, P. A.
The expansion of satellite constellations poses a significant challenge to optical ground-based astronomical observations, as satellite trails degrade observational data and compromise research quality. Addressing these challenges requires developing
Externí odkaz:
http://arxiv.org/abs/2407.19461
Autor:
Miller, Andrew L., Aggarwal, Nancy, Clesse, Sebastien, De Lillo, Federico, Sachdev, Surabhi, Astone, Pia, Palomba, Cristiano, Piccinni, Ornella J., Pierini, Lorenzo
Gravitational waves from sub-solar mass primordial black holes could be detected in LIGO, Virgo and KAGRA data. Here, we apply a method originally designed to look for rapidly spinning-down neutron stars, the generalized frequency-Hough transform, to
Externí odkaz:
http://arxiv.org/abs/2407.17052
Autor:
Sadeghi, R., Tavabi, E.
Solar winds originate from the Sun and can be classified as fast or slow. Fast solar winds come from coronal holes at the solar poles, while slow solar winds may originate from the equatorial region or streamers. Spicules are jet-like structures obse
Externí odkaz:
http://arxiv.org/abs/2408.07168
The construction and robotic sensing data originate from disparate sources and are associated with distinct frames of reference. The primary objective of this study is to align LiDAR point clouds with building information modeling (BIM) using a globa
Externí odkaz:
http://arxiv.org/abs/2405.03969
Publikováno v:
Leida xuebao, Vol 13, Iss 4, Pp 838-851 (2024)
Doppler through-wall radar faces two challenges when locating targets concealed behind walls: (1) precisely determining the instantaneous frequency of the target within the frequency aliasing region and (2) reducing the impact of the wall on position
Externí odkaz:
https://doaj.org/article/92cb973868304e1292be86cfff009f18
To address the challenges of low detection accuracy and high false positive rates of transmission lines in UAV (Unmanned Aerial Vehicle) images, we explore the linear features and spatial distribution. We introduce an enhanced stochastic Hough transf
Externí odkaz:
http://arxiv.org/abs/2402.02761
Autor:
Ristori, Luciano
We introduce a new pattern recognition algorithm for track finding in High Energy Physics Experiments based on an extension of the Hough Transform to multiple dimensions. A remarkable property of this algorithm is that the execution time is simply pr
Externí odkaz:
http://arxiv.org/abs/2402.03508
Publikováno v:
IET Image Processing, Vol 18, Iss 5, Pp 1161-1177 (2024)
Abstract More accurate methods for crop row detection benefit intelligent operation of agricultural machinery, especially avoiding mishandling or crushing crops. For achieving such a target, a traditional method combining the ExGR exponents, Otsu alg
Externí odkaz:
https://doaj.org/article/0dabd688ba6746efbc10f5a704fe1795
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