Zobrazeno 1 - 10
of 282
pro vyhledávání: '"point cloud denoising"'
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-16 (2024)
Abstract The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) has great potential for development due to its advantages of the use of multiple beams, low energy consumption, high repetition frequency, and high measurement sensitivity. However, t
Externí odkaz:
https://doaj.org/article/2a854f765f8c451fa9b03ea51a54eb30
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 3, Pp 48-55 (2024)
Currently, research on point cloud denoising in underground roadways has not fully met the special denoising needs of roadway point clouds. Especially in narrow, enclosed, and complex underground roadway environments, the research has not fully addre
Externí odkaz:
https://doaj.org/article/b20c6a51983a42aa80501992607e6c5f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19130-19145 (2024)
Airborne light detection and ranging (LiDAR) data often suffer from noisy returns hovering in empty space within the collected 3-D point clouds. This can be attributed to system-induced factors, such as timing jitter and range walk error, or instanta
Externí odkaz:
https://doaj.org/article/0e1366084bd14d1a902ededfe83bae8f
Autor:
Oddy Virgantara Putra, Moch. Iskandar Riansyah, Farah Zakiyah Rahmanti, Ardyono Priyadi, Diah Puspito Wulandari, Kohichi Ogata, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo
Publikováno v:
IEEE Access, Vol 12, Pp 7285-7297 (2024)
Object recognition in Point Cloud data from LiDAR sensors often faces challenges like noise, clutter, and ground interference, significantly affecting tasks such as segmentation, classification, and detection. To address these issues, we introduced a
Externí odkaz:
https://doaj.org/article/5860008870234540b1bba1209bd52066
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 428-437 (2024)
The ice, cloud, and land elevation satellite-2 (ICESat-2) is the only satellite that produces photon-counting light detection and ranging data, and is equipped with the advanced topographic laser altimeter system. ICESat-2 provides sea surface height
Externí odkaz:
https://doaj.org/article/e24c9ba85f764a4388e98a23868b4068
Publikováno v:
Graphical Models, Vol 133, Iss , Pp 101216- (2024)
Effective removal of noises from raw point clouds while preserving geometric features is the key challenge for point cloud denoising. To address this problem, we propose a novel method that jointly optimizes the point positions and normals. To preser
Externí odkaz:
https://doaj.org/article/66f78af318f44a1ea81ae2adc867e4d8
Publikováno v:
Hangkong gongcheng jinzhan, Vol 14, Iss 6, Pp 45-55 (2023)
The effect of point cloud denoising is very important to the subsequent surface fitting and modeling design in 3D scanning process. How to extract feature points quickly and accurately has become a research hotspot.However,the key point of point clou
Externí odkaz:
https://doaj.org/article/306b93ed1e904515bab4c6838fb8f8fc
Publikováno v:
Sensors, Vol 24, Iss 19, p 6185 (2024)
Laser point clouds are commonly affected by Gaussian and Laplace noise, resulting in decreased accuracy in subsequent surface reconstruction and visualization processes. However, existing point cloud denoising algorithms often overlook the local cons
Externí odkaz:
https://doaj.org/article/5ce3efe9af4849da95d11733ce56ba96
Autor:
Wenzhen Zhang, Ming Ling
Publikováno v:
PeerJ Computer Science, Vol 10, p e1832 (2024)
Reliable point cloud data (PCD) generated by LiDAR are crucial to perceiving surroundings when autonomous driving systems are a concern. However, adverse weather conditions can impact the detection range of LiDAR, resulting in a significant amount of
Externí odkaz:
https://doaj.org/article/a2d2fded5c8240f78b4e526e9f2f9770
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 10, Pp 61-67, 95 (2023)
The traditional monitoring methods for coal mine roadway deformation have problems such as incomplete data collection, non intuitive data format, poor precision, and inability to achieve continuous monitoring of the entire roadway deformation. In ord
Externí odkaz:
https://doaj.org/article/0f0196e92f624158959a3634c15d93e8