Zobrazeno 1 - 10
of 3 746
pro vyhledávání: '"Light detection and ranging"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1864-1875 (2025)
High-resolution remote sensing image segmentation has advanced significantly with 2-D convolutional neural networks and transformer-based models like SegFormer and Swin Transformer. Concurrently, the rapid development of 3-D convolution techniques ha
Externí odkaz:
https://doaj.org/article/cd7c8707f30241ddbb0519a6217e79ac
Autor:
Shuo Shi, Biwu Chen, Sifu Bi, Junkai Li, Wei Gong, Jia Sun, Bowen Chen, Lin Du, Jian Yang, Qian Xu, Fei Wang, Shalei Song
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1460-1474 (2024)
Precise classification of Light Detection and Ranging (LiDAR) point cloud is a fundamental process in various applications, such as land cover mapping, forestry management, and autonomous driving. Due to the lack of spectral information, the existing
Externí odkaz:
https://doaj.org/article/ce02f9c0e2c74cc286a61707e803688b
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2024)
High-precision positioning and navigation are necessary for autonomous driving. GNSS RTK and INS integrated system is commonly used in vehicular navigation. But it suffers from severe signal reflections and blockages of GNSS signals and error accumul
Externí odkaz:
https://doaj.org/article/d4bb8275963246a48137dd0e56318e99
Autor:
José Ignacio Fiz Fernández, Pere Manel Martín Serrano, Maria Mercè Grau Salvat, Antoni Cartes Reverté
Publikováno v:
Virtual Archaeology Review, Vol 15, Iss 31, Pp 54-71 (2024)
Highlights: • Some archaeological results obtained using SAR-X images received through the PAZ satellite and applied to a part of what was called Ager Cosanus are shown in this article. • The study has been completed with the analysis of multispe
Externí odkaz:
https://doaj.org/article/8e82a4472e3c45e88254e4b9a268eec7
Publikováno v:
International Journal of Optomechatronics, Vol 18, Iss 1 (2024)
This paper presents a one-dimensional scanning micromirror, utilizing Multi Jet Fusion three-dimensional (3D) printed polyamide 12 as its core material, with a gold-coated silicon mirror in a half-circle extension shape (4.2 mm × 15 mm). The micromi
Externí odkaz:
https://doaj.org/article/e8d76d344cdb4d558caf529153c182ce
Autor:
Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du
Publikováno v:
Geo-spatial Information Science, Pp 1-21 (2024)
The assessment of ecological functions, such as those of forest structure zoning and carbon sinks, heavily relies on forest age classification. Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased avail
Externí odkaz:
https://doaj.org/article/9ad3d823a9bf43be8e4b944bc883851d
Publikováno v:
Defence Technology, Vol 36, Iss , Pp 95-104 (2024)
Swarm robot systems are an important application of autonomous unmanned surface vehicles on water surfaces. For monitoring natural environments and conducting security activities within a certain range using a surface vehicle, the swarm robot system
Externí odkaz:
https://doaj.org/article/f5c00ed0e60f4ecbadb872f0d4260d5d
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2024)
Ground filtering is a fundamental step in airborne LiDAR data processing toward a variety of applications. However, existing algorithms remain tremendously challenging in complex environments, e.g. steep hillsides, ridges, valleys, discontinuities, a
Externí odkaz:
https://doaj.org/article/af50d89e2e674d7abdd22d8a2b6e7d53
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 3, Pp 569-582 (2024)
Abstract Simulating realistic three‐dimensional (3D) forest scenes is useful in understanding the links between forest structure and ecosystem functions (e.g. radiative transfer). Light detection and ranging (LiDAR) technology provides useful 3D da
Externí odkaz:
https://doaj.org/article/829229b7ca9b44fd9c623d45e390bcfe
Publikováno v:
Geo-spatial Information Science, Pp 1-20 (2024)
Accurate estimation of forest aboveground biomass is essential for the assessment of regional carbon cycle and the climate change in the terrestrial ecosystem. Currently, ensemble learning algorithms and cross-validation methods have been widely appl
Externí odkaz:
https://doaj.org/article/b066192c258b4d76a3f5dc6c362f53f9