Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Jiangbin ZHENG"'
Publikováno v:
IET Image Processing, Vol 17, Iss 12, Pp 3411-3422 (2023)
Abstract In this work, a neural surface reconstruction framework is presented. In order to perform neural surface reconstruction using 2D supervision, a weighted random sampling based on saliency is introduced for training the deep neural network. In
Externí odkaz:
https://doaj.org/article/36ebaaacaacb46abb378da170f416e33
Publikováno v:
Drones, Vol 8, Iss 3, p 83 (2024)
Unmanned aerial vehicle (UAV) technology has witnessed widespread utilization in target surveillance activities. However, cooperative multiple UAVs for the identification of multiple targets poses a significant challenge due to the susceptibility of
Externí odkaz:
https://doaj.org/article/bbb323188f96412dba2f6ad85c3e7a95
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3585-3598 (2021)
Abstract Human detection in crowded scenes is one of the research components of crowd safety problem analysis, such as emergency warning and security monitoring platforms. Although the existing anchor‐free methods have fast inference speed, they ar
Externí odkaz:
https://doaj.org/article/7dad8689e7c14b8c9b305656b35d5263
Publikováno v:
IET Image Processing, Vol 15, Iss 7, Pp 1542-1552 (2021)
Abstract Low‐light image enhancement is rapidly gaining research attention due to the increasing demands of extreme visual tasks in various applications. Although numerous methods exist to enhance image qualities in low light, it is still undetermi
Externí odkaz:
https://doaj.org/article/0951ef0a0a6d4626a9391879012b059f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1705-1716 (2021)
Identifying tiny objects from extremely low-resolution (LR) unmanned-aerial-vehicle-based remote sensing images is generally considered as a very challenging task, because of very limited information in the object areas. In recent years, there have b
Externí odkaz:
https://doaj.org/article/269d3da58fb148a5a238aaf2009f4211
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1233-1245 (2021)
In hyperspectral images (HSI), most feature extraction and data classification methods rely on corrected dataset, in which the noisy and water absorption bands are removed. This can result in not only extra working burden but also information loss fr
Externí odkaz:
https://doaj.org/article/3e4b2905a7f04efda3a8c34b2570df53
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
Publikováno v:
IEEE Access, Vol 8, Pp 53203-53214 (2020)
Identifying tiny objects with extremely low resolution is generally considered a very challenging task even for human vision, due to limited information presented inside the object areas. There have been very limited attempts in recent years to deal
Externí odkaz:
https://doaj.org/article/e4900e747b334738892afd272c81bf9a
Publikováno v:
IEEE Access, Vol 7, Pp 52622-52633 (2019)
This paper presents a road vehicle recognition and classification approach for intelligent transportation systems. This approach uses a roadside installed low-cost magnetometer and associated data collection system. The system measures the magnetic f
Externí odkaz:
https://doaj.org/article/7c86bcebce7548378df5f50ecf150577
Publikováno v:
IEEE Access, Vol 7, Pp 106111-106123 (2019)
Big data analytics (BDA) is a systematic approach for analyzing and identifying different patterns, relations, and trends within a large volume of data. In this paper, we apply BDA to criminal data where exploratory data analysis is conducted for vis
Externí odkaz:
https://doaj.org/article/594a191f10e04cc4ba64d2c8732650df