Search: image fusion — Academic Articles

Image encoding-based bearing fault diagnosis: Review and challenges for high-speed trains

Huimin Li, Lingfeng Li, Bin Liu, Ge Xin • High-Speed Railway (2025)

High-Speed Trains (HSTs) have emerged as a mainstream mode of transportation in China, owing to their exceptional safety and efficiency. Ensuring the reliable operation of HSTs is of paramount economic and societal importance. As critical r...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.hspr.2025.08.003

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Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

Guiqing He, Siyuan Xing, Xingjian He, Jun Wang et al. • IET Computer Vision (2019)

The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays. However, due to the limited number of dictionary ato...

DOAJ Open Access (DOAJ) DOI: 10.1049/iet-cvi.2018.5496

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Multi-Modal Image Fusion Based on Matrix Product State of Tensor

Yixiang Lu, Rui Wang, Qingwei Gao, Dong Sun et al. • Frontiers in Neurorobotics (2021)

Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnbot.2021.762252

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Deep Learning for the Earth Sciences

Gustau Camps‐Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein • Wiley eBooks (2021)

Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only re...

OPENALEX Open Access DOI: https://doi.org/10.1002/9781119646181

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Academic Articles & Research Papers

Image encoding-based bearing fault diagnosis: Review and challenges for high-speed trains

Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

Multi-Modal Image Fusion Based on Matrix Product State of Tensor

Deep Learning for the Earth Sciences