Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xiaofang Kong"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2094 (2024)
This article primarily focuses on the localization and extraction of multiple moving objects in images taken from a moving camera platform, such as image sequences captured by drones. The positions of moving objects in the images are influenced by bo
Externí odkaz:
https://doaj.org/article/91ab4621966b4db7b1eeebf63cb07497
Publikováno v:
Photonics, Vol 9, Iss 12, p 915 (2022)
Camouflaged target segmentation has been widely used in both civil and military applications, such as wildlife behaviour monitoring, crop pest control, and battle reconnaissance. However, it is difficult to distinguish camouflaged objects and natural
Externí odkaz:
https://doaj.org/article/0ef512dc2e9248db8d5734e785658b58
Autor:
Xiaofang Kong, Qian Chen, Jiajie Wang, Guohua Gu, Pengcheng Wang, Weixian Qian, Kan Ren, Xiaotao Miao
Publikováno v:
Sensors, Vol 18, Iss 1, p 248 (2018)
Inclinometer assembly error is one of the key factors affecting the measurement accuracy of photoelectric measurement systems. In order to solve the problem of the lack of complete attitude information in the measurement system, this paper proposes a
Externí odkaz:
https://doaj.org/article/8a21065f105d42f1a932f9d0fa30be17
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-10
Publikováno v:
International Conference on Optical and Photonic Engineering (icOPEN 2022).
Publikováno v:
Optoelectronic Imaging and Multimedia Technology IX.
Publikováno v:
International Journal of Thermal Sciences. 186:108121
Publikováno v:
IEEE Sensors Journal. 21:8194-8203
It is necessary to perform a numerical or a quadratic integral calculation on the acceleration sensor data by rectangular integration, trapezoidal integration or Simpson integration, etc . to obtain the velocity or the displacement result in engineer
Publikováno v:
Journal of the Optical Society of America A. 40:538
In recent years, generative adversarial networks (GNAs), consisting of two competing 2D convolutional neural networks (CNNs) that are used as a generator and a discriminator, have shown their promising capabilities in hyperspectral image (HSI) classi
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. :1-1