Zobrazeno 1 - 10
of 424
pro vyhledávání: '"lidar point clouds"'
Autor:
Bolin Fu, Linhang Jiang, Hang Yao, Yingying Wei, Mingming Jia, Weiwei Sun, Yanli Yang, Tengfang Deng
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Mangroves are vital coastal ecosystems that provide crucial links between land and sea. Tree height is a key indicator for assessing mangroves’ health status. Currently, there are still numerous challenges in estimating mangrove tree height. In thi
Externí odkaz:
https://doaj.org/article/5eaf83dc5a3d4c96b81a3bc96f39254f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103928- (2024)
Within this study, we present a pioneering cross-platform point cloud registration (PCR) framework aimed at the automated alignment of UAV and terrestrial forest LiDAR point clouds. This framework leverages canopy profile skyline (CPS) descriptors an
Externí odkaz:
https://doaj.org/article/278e200892114e5ab24a047475bced9d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19627-19639 (2024)
Given the inherent limitations of camera-only and LiDAR-only methods in performing semantic segmentation tasks in large-scale complex environments, multimodal information fusion for semantic segmentation has become a focal point of contemporary resea
Externí odkaz:
https://doaj.org/article/0701fed27dc0408c9f146601bfe24973
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16316-16328 (2024)
Building roof contours are important geometric features of the building and play an important role in the fields of three-dimensional model reconstruction and target detection. Due to the uneven density of the airborne light detection and ranging poi
Externí odkaz:
https://doaj.org/article/a040b6e945a44e61ac6dd6fd9916ffb5
Autor:
Miguel Yermo, Ruben Laso, Oscar G. Lorenzo, Tomas F. Pena, Jose C. Cabaleiro, Francisco F. Rivera, David L. Vilarino
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10137-10157 (2024)
Powerline inspection and modelization using airborne light detection and ranging (LiDAR) data have been widely studied through the years. However, to the best of our knowledge, the proposed methods rely on intentional flights carried out along the hi
Externí odkaz:
https://doaj.org/article/6b0c101c17b344cbab80c90c8827711f
Publikováno v:
IEEE Access, Vol 11, Pp 135820-135830 (2023)
In recent years, computer vision has transformed fields such as medical imaging, object recognition, and geospatial analytics. One of the fundamental tasks in computer vision is semantic image segmentation, which is vital for precise object delineati
Externí odkaz:
https://doaj.org/article/5522b579f829440ab4e1af48e8a2fe4a
Publikováno v:
IEEE Photonics Journal, Vol 15, Iss 5, Pp 1-8 (2023)
At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, affected by FPS, feature extraction is incomplete and unstable
Externí odkaz:
https://doaj.org/article/f98ad01f816b4c0ea9a110c136f75863
Publikováno v:
Information, Vol 15, Iss 3, p 148 (2024)
In this study, we introduce a novel framework for the semantic segmentation of point clouds in autonomous driving scenarios, termed PVI-Net. This framework uniquely integrates three different data perspectives—point clouds, voxels, and distance map
Externí odkaz:
https://doaj.org/article/4d3718d7c42b4332bdd2616d76a19b7e
Autor:
Yuchan Liu, Dong Chen, Shihan Fu, Panagiotis Takis Mathiopoulos, Mingming Sui, Jiaming Na, Jiju Peethambaran
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 610 (2024)
Accurate identification and segmentation of individual tree points are crucial for assessing forest spatial distribution, understanding tree growth and structure, and managing forest resources. Traditional methods based on Canopy Height Models (CHM)
Externí odkaz:
https://doaj.org/article/6e462f6b22754257a7d26be9f3a1ed50
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 190 (2024)
Because of the complex structure and different shapes of building contours, the uneven density distribution of airborne LiDAR point clouds, and occlusion, existing building contour extraction algorithms are subject to such problems as poor robustness
Externí odkaz:
https://doaj.org/article/9414b1ed5ebf4076addc9bcafb121a81