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Ditemukan 3 dari pencarian Anda melalui kata kunci: subject="3D point cloud"
cover
Statistically assessing vertical change on a sandy beach from permanent laser…
Komentar Bagikan
Roderik LindenberghMieke KuschnerusSander VosRamon Hanssen

In the view of climate change, understanding and managing effects on coastal areas and adjacent cities is essential. Permanent Laser Scanning (PLS) is a successful technique to not only observe notably sandy coasts incidentally or once every year, but (nearly) continuously over extended periods of time. The collected point cloud observations form a 4D point cloud data set representing the evolu…

Edisi
Vol.11, January 2024
ISBN/ISSN
1872-8235
Deskripsi Fisik
15 hlm PDF, 10,887 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
Deep unsupervised learning for 3D ALS point clouds change detection
Komentar Bagikan
Iris de GelisSudipan SahaMuhammad ShahzadThomas CorpettiSebastien LefevreXiao Xiang Zhu

Change detection from traditional 2D optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud from photogrammetry or LiDAR surveying can fill this gap by providing critical depth information. While most existing machine learning based 3D point cloud change detection methods are supervised, they severely depend on the ava…

Edisi
Vol.9, August 2023
ISBN/ISSN
1872-8235
Deskripsi Fisik
11 hlm PDF, 11.265 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution…
Komentar Bagikan
Michael KolleDominik LaupheimerStefan SchmohlNorbert HaalaFranz RottensteinerJan Dirk WegnerHugo Ledoux

Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially in the geospatial domain, such datasets are quite scarce. Within this paper, we aim to alleviate this issue by introducing a new annotated 3D datas…

Edisi
Vol.1, October 2021
ISBN/ISSN
1872-8235
Deskripsi Fisik
11 hlm PDF., 8,202 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678