Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites
Sign Up to like & getrecommendations! Published in 2021 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103430
Abstract: Abstract Emerging vision-based frameworks have demonstrated the great potential to robustly perform volumetric measurements on point cloud models, which has several applications for site material management (e.g., during earthworks). However, prevalent vision-based frameworks to date… read more here.
Keywords: vision based; cloud models; point cloud; volumetric measurements ... See more keywords
Comparison of water cloud models with different layers for rice yield estimation from a single TerraSAR image
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2020.1781284
Abstract: ABSTRACT This paper discusses the estimation of rice yield from Water Cloud Models (WCM) with different layers by a single X-band (8–12 GHz) Synthetic Aperture Radar (SAR) image, from a satellite named TerraSAR. A simulated… read more here.
Keywords: water cloud; rice yield; image; cloud models ... See more keywords
Effect of surface H2 on molecular hydrogen formation on interstellar grains
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stac655
Abstract: We investigate how the existence of hydrogen molecules on grain surfaces may affect H2 formation efficiency in diffuse and translucent clouds. Hydrogen molecules are able to reduce the desorption energy of H atoms on grain… read more here.
Keywords: cloud models; surface; hydrogen; grain surfaces ... See more keywords