Zobrazeno 1 - 10
of 1 745
pro vyhledávání: '"shearlet transform"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Traditional denoising methods often lose details or edges, such as Gaussian filtering. Shearlet transform is a multi-scale geometric analysis tool which has the advantages of multi-resolution and multi-directivity. Compared with wavelet, curvelet, an
Externí odkaz:
https://doaj.org/article/e1a08e1c7d80424d870fd8bab5acfef2
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2935 (2024)
This study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessm
Externí odkaz:
https://doaj.org/article/0c9a5ffc6020465588509a1cde162852
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3070 (2024)
In mineral, environmental, and engineering explorations, we frequently encounter geological bodies with varied sizes, depths, and conductivity contrasts with surround rocks and try to interpret them with single survey data. The conventional three-dim
Externí odkaz:
https://doaj.org/article/5e762bd402414f9198c9790e50201a3e
Autor:
Sepideh Vafaie, Eysa Salajegheh
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 7, Iss 2, Pp 1-42 (2023)
This study presents a new approach based on shearlet transform for the first time to detect damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet transforms to specify different types of defects in plate structures. Wa
Externí odkaz:
https://doaj.org/article/fbb421bed5bf4852a0a0439c36c70457
Publikováno v:
矿业科学学报, Vol 8, Iss 2, Pp 202-212 (2023)
Aiming at the problems of difficult detection, low recognition efficiency and strong subjectivity of foam flotation dosing state, a flotation condition recognition method of nuclear random-weight neural networks(K-RVFLNs)combining multi-scale CNN cha
Externí odkaz:
https://doaj.org/article/fa4adf4c71aa4072af907a4117e0e3af
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1752 (2024)
Side scan sonar images have great application prospects in underwater surveys, target detection, and engineering activities. However, the acquired sonar images exhibit low illumination, scattered noise, distorted outlines, and unclear edge textures d
Externí odkaz:
https://doaj.org/article/48a2f9217a0745c88c6ee6c84b58702f
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4166 (2024)
X-ray imaging is a valuable non-destructive tool for examining bronze wares, but the complexity of the coverings of bronze wares and the limitations of single-energy imaging techniques often obscure critical details, such as lesions and ornamentation
Externí odkaz:
https://doaj.org/article/af3d1fcaae624acf986524bb1ac78299
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1296 (2024)
For decades, wavelet theory has attracted interest in several fields in dealing with signals. Nowadays, it is acknowledged that it is not very suitable to face aspects of multidimensional data like singularities and this has led to the development of
Externí odkaz:
https://doaj.org/article/19fb384216c64078a3c98bb755c832bd
Autor:
Libo Cheng, Pengyu Chen
Publikováno v:
IEEE Access, Vol 11, Pp 97716-97725 (2023)
Model-based image denoising methods are well suited for use as image processors in remote sensing systems such as satellites due to their well-developed mathematical theory and low computational cost, but these methods can often only deal with a sing
Externí odkaz:
https://doaj.org/article/d0ab32c789e44c459b04532fde3ddcc1
Publikováno v:
IEEE Access, Vol 11, Pp 96387-96400 (2023)
Due to the deficient knowledge of binocular vision properties, how to effectively evaluate stereoscopic images still remains a challenging task. Inspired by multichannel processing of human visual system (HVS), we propose a blind method for stereosco
Externí odkaz:
https://doaj.org/article/cc2bd5615e904da29da269c143013ccb