Zobrazeno 1 - 10
of 179
pro vyhledávání: '"ZhiYong Lv"'
Autor:
Xin Deng, Biao Ma, Yunfei Gong, Jiali Li, Yuxin Zhou, Tianran Xu, Peiying Hao, Kai Sun, Zhiyong Lv, Xiaoping Yu, Mingzhou Zhang
Publikováno v:
Foods, Vol 13, Iss 11, p 1749 (2024)
Small molecules are significant risk factors for causing food safety issues, posing serious threats to human health. Sensitive screening for hazards is beneficial for enhancing public security. However, traditional detection methods are unable to mee
Externí odkaz:
https://doaj.org/article/be5e4ddf32714d239ba704292575f7e3
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 264-272 (2022)
For the short circuit current test requirement of copper platoon at the entrance of a hybrid current-limiting fuse, the magnetic field distribution simulation model of copper platoon in both steady and transient current state were built. The influenc
Externí odkaz:
https://doaj.org/article/b9cd37a3572545e0b94a892517ad0150
Publikováno v:
IET Image Processing, Vol 16, Iss 13, Pp 3684-3699 (2022)
Abstract Restoring damaged multichannel visual data with high loss ratio is quite a challenging task. To address this problem, an effective LRTC (low‐rank tensor completion) model integrated with total α‐order variation (TVα) in the fractional
Externí odkaz:
https://doaj.org/article/e36431cfa3f4466e943f9d7f6a755a05
Publikováno v:
Energies, Vol 16, Iss 22, p 7546 (2023)
Aimed at the optimization design of the parameters of the commutation circuit of a hybrid DC-current-limiting circuit breaker (HDCCLCB), a parameter selection model considering the short-time withstand of the thyristor and the volume of the commutati
Externí odkaz:
https://doaj.org/article/acaf7ce9b2284ce4965ed9ace26a8459
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4609 (2023)
Change detection with heterogeneous remote sensing images (Hete-CD) plays a significant role in practical applications, particularly in cases where homogenous remote sensing images are unavailable. However, directly comparing bitemporal heterogeneous
Externí odkaz:
https://doaj.org/article/15f211d66b5f4c1186a402bc9da13117
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7308-7322 (2022)
Change detection is an important task of identifying changed information by comparing bitemporal images over the same geographical area. Currently, many existing methods based on U-Net and attention mechanism have greatly promoted the development of
Externí odkaz:
https://doaj.org/article/18c0a714e8df4174a057dbf381af9de8
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4141 (2023)
Optical satellite image change detection has attracted extensive research due to its comprehensive application in earth observation. Recently, deep learning (DL)-based methods have become dominant in change detection due to their outstanding performa
Externí odkaz:
https://doaj.org/article/87e22bf420834efeae4cf9648af66bdb
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1567 (2023)
The automatic extraction of individual tree from mobile laser scanning (MLS) scenes has important applications in tree growth monitoring, tree parameter calculation and tree modeling. However, trees often grow in rows and tree crowns overlap with var
Externí odkaz:
https://doaj.org/article/6cea0587df304f80a77a43bdc2f137c2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 631-644 (2021)
The number of labeled samples has a great impact on the classification results of a very-high-resolution (VHR) remote sensing image. However, the acquisition of available labeled samples is difficult and time consuming. Faced with the limited labeled
Externí odkaz:
https://doaj.org/article/d27e1b17dee748c39267c1472a544f2e
Autor:
Lipeng Gao, Jingyu Wang, Qixin Wang, Wenzhong Shi, Jiangbin Zheng, Hongping Gan, Zhiyong Lv, Honghai Qiao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10428-10438 (2021)
Automatic extraction of road from multisource remote sensing data has always been a challenging task. Factors such as shadow occlusion and multisource data alignment errors prevent current deep learning-based road extraction methods from acquiring ro
Externí odkaz:
https://doaj.org/article/534cdf3ef22e4b02bc7d93d42113e7e5