Zobrazeno 1 - 10
of 934
pro vyhledávání: '"Downsampling"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Traditional Interferometric Synthetic Aperture Radar (InSAR) methods have difficulties in capturing deformation information of small and medium-sized earthquakes due to small surface deformation and atmospheric interference. This study proposes a res
Externí odkaz:
https://doaj.org/article/e02214c3b443417aa4157ca38f385931
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 10, Pp 102236- (2024)
The detection of white blood cells provides important information in cellular research regarding infections, inflammation, immune function, and blood pathologies. Effective segmentation of WBCs in blood microscopic images not only aids pathologists i
Externí odkaz:
https://doaj.org/article/3f9f94aff72146f09194d2c7abad1bbd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Magnetic resonance imaging is a medical imaging technique to create comprehensive images of the tissues and organs in the body. This study presents an advanced approach for storing and compressing neuroimaging informatics technology initiati
Externí odkaz:
https://doaj.org/article/639150d8049e4e769147158d3a2509c8
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 991-1004 (2024)
Radar is widely used in aviation, meteorology, and military fields, and radar pulse signal detection has become an indispensable and essential function of cognitive radio systems as well as electronic warfare systems. In this paper, we propose a deep
Externí odkaz:
https://doaj.org/article/d75614e8528f4c219e95be63036de270
Autor:
Sadjad Rezvani, Fatemeh Soleymani Siahkar, Yasin Rezvani, Abdorreza Alavi Gharahbagh, Vahid Abolghasemi
Publikováno v:
IEEE Access, Vol 12, Pp 121077-121092 (2024)
Restoring a high-quality image from a noisy version poses a significant challenge in computer vision, particularly in today’s context where high-resolution and large-sized images are prevalent. As such, fast and efficient techniques are required to
Externí odkaz:
https://doaj.org/article/87107460d3b94aff933c82501a5c1f27
Autor:
Tianxiang Wang, Zhangfan Zeng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6894-6909 (2024)
Ship detection via synthetic aperture radar (SAR) is widely used in maritime safety and maritime traffic control, etc. Recently, deep learning methods are employed to improve the performance of SAR ship detection to a large extent. However, the prese
Externí odkaz:
https://doaj.org/article/b1fa5672c299463caa707b1bd2e7c2d8
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 1579-1593 (2024)
In recent years, deep learning has been applied widely in the field of communication. In this paper, a deep learning-based frequency modulation (FM) demodulation method is proposed for FM signal demodulation in complex electromagnetic environment. Th
Externí odkaz:
https://doaj.org/article/ca062506318d4aec903093599208c1a3
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1472 (2024)
Underwater optical images have outstanding advantages for short-range underwater target detection tasks. However, owing to the limitations of special underwater imaging environments, underwater images often have several problems, such as noise interf
Externí odkaz:
https://doaj.org/article/4c5d4c0a9d124ad3a8f38a01e215ccf1
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3160 (2024)
In response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved v
Externí odkaz:
https://doaj.org/article/361f71573da148318e88071b2e978da9
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