The direct geodesic problem and an approximate analytical solution in Cartesian coordinates on a triaxial ellipsoid

Πάνου, Γεώργιος; Korakitis, R.

doi:10.1515/jag-2019-0066

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…In order to verify the effectiveness of the algorithm, this paper selects the multi-focus image fusion (NPF) algorithm based on NSCT and pulse coupled neural network (PCNN) [25], the surface wavelet transform (SCT) [26], and the multi-focus image fusion (FGF) algorithm based on fast finite shear wave transform and guided filtering [27] for comparison. Average gradient (AG), spatial frequency (SF), mutual information MI, and edge-preserving information transfer factor QAB/F (high weight evaluation standard) were used for objective evaluation [28,29].…”

Section: Resultsmentioning

confidence: 99%

Image fusion algorithm in Integrated Space-Ground-Sea Wireless Networks of B5G

Cui

Wang

et al. 2021

EURASIP J. Adv. Signal Process.

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In recent years, in Space-Ground-Sea Wireless Networks, the rapid development of image recognition also promotes the development of images fusion. For example, the content of a single-mode medical image is very single, and the fused image contains more image information, which provides a more reliable basis for diagnosis. However, in wireless communication and medical image processing, the image fusion effect is poor and the efficiency is low. To solve this problem, an image fusion algorithm based on fast finite shear wave transform and convolutional neural network is proposed for wireless communication in this paper. This algorithm adopts the methods such as fast finite shear wave transform (FFST), reducing the dimension of the convolution layer, and the inverse process of fast finite shear wave transform. The experimental results show that the algorithm has a very good effect in both objective indicators and subjective vision, and it is also very feasible in wireless communication.

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Section: Resultsmentioning

confidence: 99%

Image fusion algorithm in Integrated Space-Ground-Sea Wireless Networks of B5G

Cui

Wang

et al. 2021

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

show abstract

“…In order to verify the effectiveness of the algorithm, this paper selects the multi focus image fusion (NPF) algorithm based on NSCT and pulse coupled neural network (PCNN) [25], the surface wavelet transform (SCT) [26] and the multi focus image fusion (FGF) algorithm based on fast finite shear wave transform and guided filtering [27] for comparison. Average gradient (AG), spatial frequency (SF), mutual information MI and edge preserving information transfer factor QAB/F (high weight evaluation standard) were used for objective evaluation [29][30].…”

Section: Resultsmentioning

confidence: 99%

Image Fusion Algorithm in Integrated Space-Ground-Sea Wireless Networks of B5G

Cui

Wang

et al. 2021

Preprint

View full text Add to dashboard Cite

In recent years, in Space-Ground-Sea Wireless Networks, the rapid development of image recognition also promotes the development of images fusion. For example, the content of single-mode medical image is very single, and the fused image contains more image information, which provides a more reliable basis for diagnosis. However, in wireless communication and medical image processing, the image fusion effect is poor and the efficiency is low. To solve this problem, a image fusion algorithm based on fast finite shear wave transform and convolutional neural network is proposed for wireless communication. Firstly, the source image is decomposed by fast finite shear wave transform (FFST); secondly, the convolution neural network is improved to reduce the dimension of convolution layer from two steps, and the number of iterations and the optimal weight of convolution neural network are determined by experiments; finally, the image is fused by the inverse process of fast finite shear wave transform. The experimental results show that the algorithm has a very good effect in both objective indicators and subjective vision, and it is also very feasible in wireless communication.

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“…This particular note has remained unpublished since 2007 (available only my website), however it has received several citations (e.g. [1,2,3]). As a result, it now appears on ArXiv for future reference.…”

mentioning

confidence: 99%