Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bitong Xu"'
Multiscale Context-Aware Feature Fusion Network for Land-Cover Classification of Urban Scene Imagery
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8475-8491 (2023)
Recently, several land-cover classification models have achieved great success in terms of both accuracy and computational performance. However, it remains challenging due to interclass similarities, intraclass variations, scale-related inaccuracies,
Externí odkaz:
https://doaj.org/article/df74811d10424ca4a53137cc572f1241
Publikováno v:
Materials & Design, Vol 232, Iss , Pp 112089- (2023)
Blood vessels play an important role in bone growth and fracture healing by providing nutrients and oxygen. Although great progress has been made in bone graft materials with good biological and physicochemical properties, vascularization of these ma
Externí odkaz:
https://doaj.org/article/0e33b313687e4494ae8889d128935326
Autor:
Shiyang Liao, Yonghang Liu, Yanlong Kong, Haitao Shi, Bitong Xu, Bo Tang, Congbin Li, Yitian Chen, Jing Chen, Juan Du, Yadong Zhang
Publikováno v:
Materials Today Bio, Vol 17, Iss , Pp 100454- (2022)
Spinal cord injury is a kind of nerve injury disease with high disability rate. The bioscaffold, which presents a biomimetic structure, can be used as “bridge” to fill the cavity formed by the liquefaction and necrosis of spinal nerve cells, and
Externí odkaz:
https://doaj.org/article/e3d0bac732d34cf8b495a5e00d1deb46
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2106 (2023)
It is a big challenge to quickly and accurately recognize targets in a complex background. The mutual constraints between a wide field of vision (FOV) and high resolution affect the optical tracking and imaging ability in a wide area. In nature, rapt
Externí odkaz:
https://doaj.org/article/8ea3891397b149b79379b2b136298d21
Autor:
Renliang Zhao, Xiangyun Jin, Ang Li, Bitong Xu, Yifan Shen, Wei Wang, Jinghuan Huang, Yadong Zhang, Xiaolin Li
Publikováno v:
Advanced Science, Vol 9, Iss 1, Pp n/a-n/a (2022)
Abstract Diabetic ulcers, a difficult problem faced by clinicians, are strongly associated with an increase in cellular senescence. Few empirical studies have focused on exploring a targeted strategy to cure diabetic wounds by eliminating senescent f
Externí odkaz:
https://doaj.org/article/0846996c15ad4d46a9f464925d72e600
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 281 (2021)
Deep learning technology has been extensively explored by existing methods to improve the performance of target detection in remote sensing images, due to its powerful feature extraction and representation abilities. However, these methods usually fo
Externí odkaz:
https://doaj.org/article/c08038f387e3473894e418d9b353f088
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
This letter proposes a novel method based on multiscale dual morphological reconstruction (MDMR) to detect low-contrast ship target with unknown size and polarity (bright or dark) in infrared image. First, the multiscale morphological reconstruction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b012d98658d056585aca84902b941c7
https://doi.org/10.1109/lgrs.2021.3080986
https://doi.org/10.1109/lgrs.2021.3080986
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Convolutional neural network (CNN) model has made a great breakthrough in target detection in remote sensing image due to the excellent feature extraction capability. However, diverse scenes and complex contextual information of remote sensing image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b14fef5e8ecaad25924b0e50fc60455
https://doi.org/10.1109/lgrs.2021.3087597
https://doi.org/10.1109/lgrs.2021.3087597
Publikováno v:
Remote Sensing
Volume 13
Issue 2
Remote Sensing, Vol 13, Iss 281, p 281 (2021)
Volume 13
Issue 2
Remote Sensing, Vol 13, Iss 281, p 281 (2021)
Deep learning technology has been extensively explored by existing methods to improve the performance of target detection in remote sensing images, due to its powerful feature extraction and representation abilities. However, these methods usually fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d709d502916753c8e401f9e95ea53b8