DublinCity: Annotated LiDAR point cloud and its applications
Scene understanding of full-scale 3D models of an urban area remains a challenging task.
While advanced computer vision techniques offer cost-effective approaches to analyse 3D …
While advanced computer vision techniques offer cost-effective approaches to analyse 3D …
[HTML][HTML] Image classification on smart agriculture platforms: Systematic literature review
JF Restrepo-Arias, JW Branch-Bedoya… - Artificial Intelligence in …, 2024 - Elsevier
In recent years, smart agriculture has gained strength due to the application of industry 4.0
technologies in agriculture. As a result, efforts are increasing in proposing artificial vision …
technologies in agriculture. As a result, efforts are increasing in proposing artificial vision …
Monitoring the dune-beach system of Guardamar del Segura (Spain) using UAV, SfM and GIS techniques
Dune ecosystems play a key role in coastal dynamics, so it is essential to measure their
movements with high precision and monitor their changes over time. It is crucial to have a …
movements with high precision and monitor their changes over time. It is crucial to have a …
Automatic extraction of trees by using multiple return properties of the lidar point cloud
Airborne laser scanning has been a valuable tool for forestry applications since it began to
be used commercially. Thanks to the high 3D resolution provided by the Light Detection and …
be used commercially. Thanks to the high 3D resolution provided by the Light Detection and …
Tree annotations in LiDAR data using point densities and convolutional neural networks
LiDAR provides highly accurate 3-D point clouds. However, data need to be manually
labeled in order to provide subsequent useful information. Manual annotation of such data is …
labeled in order to provide subsequent useful information. Manual annotation of such data is …
Data-driven automatic labelling of land cover classes from remotely sensed images
With the developing technology and automation, automatic labelling of images is of great
importance for automatic mapping. However, the most significant disadvantage of this …
importance for automatic mapping. However, the most significant disadvantage of this …
[HTML][HTML] Método de clasificación de imágenes, empleando técnicas de inteligencia artificial, integrado a una plataforma IoT de agricultura inteligente
J Restrepo-Arias - 2023 - redcol.minciencias.gov.co
Staff View: Método de clasificación de imágenes, empleando técnicas de inteligencia artificial,
integrado a una plataforma IoT de agricultura inteligente Skip to content Logo gov.co Logo …
integrado a una plataforma IoT de agricultura inteligente Skip to content Logo gov.co Logo …
Labeling and segmentation of treepoint cloud in immersive virtual reality
F Sakellaropoulos - 2024 - studenttheses.uu.nl
Effective data annotation is crucial for the advancement of machine learning techniques for
autonomous labeling of point cloud datasets for environmental studies and other fields …
autonomous labeling of point cloud datasets for environmental studies and other fields …