Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Shuhui Bu"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104189- (2024)
Stereo matching is essential for establishing pixel-level correspondences and estimating depth in scene reconstruction. However, applying stereo matching networks to UAV scenarios presents unique challenges due to varying altitudes, angles, and rapid
Externí odkaz:
https://doaj.org/article/c131c2d65861457d96167cba152398ab
Publikováno v:
Tongxin xuebao, Vol 43, Pp 157-171 (2022)
In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-m
Externí odkaz:
https://doaj.org/article/63965d59018343acaeed04d050ec4af1
Publikováno v:
IET Image Processing, Vol 16, Iss 12, Pp 3284-3299 (2022)
Abstract Since the limitation on the onboard equipment, the sparse stereo vision is becoming a suitable choice for the deployment of micro air vehicles (MAV) and small robots. However, for the point feature‐based sparse stereo, most of the current
Externí odkaz:
https://doaj.org/article/f7bef72166c84aa081d25d53ae7f6026
Publikováno v:
Drones, Vol 7, Iss 7, p 440 (2023)
Model uncertainties and external disturbances present significant challenges for controlling fixed-wing unmanned aerial vehicles (UAVs). An adaptive smooth second-order time-varying nonsingular fast terminal sliding mode control method is proposed in
Externí odkaz:
https://doaj.org/article/2bf1334312ab4057b7ad7296a228c746
Publikováno v:
IET Computer Vision, Vol 15, Iss 2, Pp 122-135 (2021)
Abstract Image matching plays an important role in various computer vision tasks, such as image retrieval and loop closure detection in Simultaneous Localization and Mapping. The authors propose a discriminative patch‐based image matching method th
Externí odkaz:
https://doaj.org/article/2791bdc577f94b4a859c5599e744980f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11500-11507 (2021)
A georeferenced orthophoto built from aerial images is the basic resource for various of remote sensing applications. As traditional low flight altitude aerial photographic survey is hard to handle large areas, higher altitude brings better survey ef
Externí odkaz:
https://doaj.org/article/91a764af05a54cbfa8461bc7a00605ba
Publikováno v:
IEEE Access, Vol 7, Pp 30980-30990 (2019)
Object detection acts as an essential part in a wide range of measurement systems in traffic management, urban planning, defense, agriculture, and so on. Convolutional Neural Networks-based researches reach a great improvement on detection tasks in n
Externí odkaz:
https://doaj.org/article/92460ea8086d4e33922cc7f24a36865e
Publikováno v:
IEEE Access, Vol 7, Pp 59613-59623 (2019)
Vehicle detection in aerial images has been taking great interest to researchers in recent years. It plays a crucial part in multidirectional applications, such as traffic surveillance, urban planning, and so on. However, the vehicle detection field
Externí odkaz:
https://doaj.org/article/fc26d32e7bf44ef7b43c34592104647d
Autor:
Pengcheng Han, Cunbao Ma, Jian Chen, Lin Chen, Shuhui Bu, Shibiao Xu, Yong Zhao, Chenhua Zhang, Tatsuya Hagino
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4113 (2022)
Individual tree counting (ITC) is a popular topic in the remote sensing application field. The number and planting density of trees are significant for estimating the yield and for futher planing, etc. Although existing studies have already achieved
Externí odkaz:
https://doaj.org/article/62568ef7f144441c9745b470961cafff
Autor:
Yong Zhao, Yuqi Cheng, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3739 (2020)
Orthophoto generation is a popular topic in aerial photogrammetry and 3D reconstruction. It is generally computationally expensive with large memory consumption. Inspired by the simultaneous localization and mapping (SLAM) workflow, this paper presen
Externí odkaz:
https://doaj.org/article/9223693a0026419d9e7e1e2972bac5e9