Zobrazeno 1 - 10
of 2 592
pro vyhledávání: '"Light Detection and Ranging (Lidar)"'
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:
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
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 1, Pp 102-108 (2024)
The onboard sensor information of intelligent driving systems primarily fuses LiDAR and camera data. Accurate and stable extrinsic parameter calibrations offer the basis of effective multi-source information fusion. In order to improve the robustness
Externí odkaz:
https://doaj.org/article/5d0937faae6b4c8ab08c8a0ba98e5107
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19288-19301 (2024)
Methods for joint classification of hyperspectral images (HSIs) with high dimensionality and spectral correlation and other sensor data (e.g., optical, infrared, radar, etc.) are important directions in the field of remote sensing. To better learn th
Externí odkaz:
https://doaj.org/article/724846abb4e44e5cb51e891f3f372e0a
Autor:
Pawel Nadachowski, Zbigniew Lubniewski, Aleksandra Malecha-Lysakowska, Karolina Trzcinska, Radoslaw Wroblewski, Jaroslaw Tegowski
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18549-18565 (2024)
The rise of artificial neural networks (ANNs) has revolutionized various fields of research, demonstrating their effectiveness in solving complex problems. However, there are still unexplored areas where the application of neural networks, particular
Externí odkaz:
https://doaj.org/article/1e1ee2c600184bf5874a5486bc8e9a6c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17099-17116 (2024)
Elevation information from light detection and ranging (LiDAR) data relieve the phenomenon of “same spectrum with different object” in hyperspectral images (HSI) classification. Consequently, HSI and LiDAR joint classification is a significant re
Externí odkaz:
https://doaj.org/article/2976b10823ac47efa6091a5335d86c62