Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Juli Zhang"'
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1049 (2023)
The accurate detection and extraction of roads using remote sensing technology are crucial to the development of the transportation industry and intelligent perception tasks. Recently, in view of the advantages of CNNs in feature extraction, its rela
Externí odkaz:
https://doaj.org/article/c98041fac27d4156adf13e24ff48510a
Publikováno v:
IEEE Access, Vol 7, Pp 88338-88356 (2019)
Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper prop
Externí odkaz:
https://doaj.org/article/1feadb81d5d248cc89ecebe3a405a7bf
Publikováno v:
IEEE Access, Vol 7, Pp 161805-161821 (2019)
Due to the explosive growth of image data, image annotation has been one of the most popular research directions in computer vision. It has been widely used in image retrieval, image analysis and understanding. Because traditional manual image annota
Externí odkaz:
https://doaj.org/article/d2070db7cab44fe480f47915f501ca73
Publikováno v:
Remote Sensing, Vol 11, Iss 8, p 922 (2019)
Manually annotating remote sensing images is laborious work, especially on large-scale datasets. To improve the efficiency of this work, we propose an automatic annotation method for remote sensing images. The proposed method formulates the multi-lab
Externí odkaz:
https://doaj.org/article/3557942f79414e1bb40b7a5fefebbeff
Publikováno v:
Remote Sensing, Vol 10, Iss 4, p 658 (2018)
Infrared and visible image registration is a very challenging task due to the large geometric changes and the significant contrast differences caused by the inconsistent capture conditions. To address this problem, this paper proposes a novel affine
Externí odkaz:
https://doaj.org/article/cb9b913f1d4c4710b89247290166524e
Publikováno v:
IEEE Access, Vol 7, Pp 88338-88356 (2019)
Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper prop
Publikováno v:
Journal of Applied Analysis & Computation. 9:1686-1705
Autor:
Chuanqing Gu, Juli Zhang
Publikováno v:
BIT Numerical Mathematics. 56:587-604
For nonsymmetric saddle point problems, Pan et al. (Appl Math Comput 172:762–771, 2006) proposed a deteriorated positive-definite and skew-Hermitian splitting (DPSS) preconditioner. In this paper, a variant of the DPSS preconditioner is proposed to
Publikováno v:
ISCID (1)
Reinforcement learning has been widely used as a mechanism for robot navigation to learn good policies from the environment and make decisions to take actions with optimizing a cumulative future reward signal. Due to limit power, robots should reach
Publikováno v:
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016).