Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Anandakumar M. Ramiya"'
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 20, Iss 1, Pp 71-77 (2017)
Accurate building detection and reconstruction is an important challenge posed to the remote sensing community dealing with LiDAR point cloud. The inherent geometric nature of LiDAR point cloud provides a new dimension to the remote sensing data whic
Externí odkaz:
https://doaj.org/article/a32b71d7a39d48709f6362246a00b46b
Publikováno v:
Journal of Spatial Science. :1-21
Autor:
Rama Rao Nidamanuri, Reji Jayakumari, Anandakumar M. Ramiya, Thomas Astor, Michael Wachendorf, Andreas Buerkert
Publikováno v:
Biosystems Engineering. 222:177-195
Publikováno v:
Precision Agriculture. 22:1617-1633
Crop discrimination at the plant or patch level is vital for modern technology-enabled agriculture. Multispectral and hyperspectral remote sensing data have been widely used for crop classification. Even though spectral data are successful in classif
Publikováno v:
2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).
Autor:
Anandakumar M. Ramiya, P. Jayaraj
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 175-180 (2018)
With recent government initiatives for smart cities, 3D virtual city models are in demand for managing and monitoring the urban infrastructure. 3D building models forms an important component of 3D virtual city model. LiDAR remote sensing has revolut
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W17, Pp 421-426 (2019)
With the rapid development in infrastructure, the need to document man-made structures is in increasing demand and inevitable. Such a process of digital documentation of buildings is called Building Information Modelling (BIM). Conventional technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bb506df1091ac6b12619163ab1ffcdb
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W17/421/2019/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W17/421/2019/
Publikováno v:
Geocarto International. 34:817-838
Semantic labelling of LiDAR point cloud is critical for effective utilization of 3D points in numerous applications. 3D segmentation, incorporation of ancillary data, feature extraction and classification are the key stages in object-based point clou
Autor:
Andreas Buerkert, Rama Rao Nidamanuri, Michael Wachendorf, Jayakumari Reji, Thomas Astor, Anandakumar M. Ramiya
Publikováno v:
Computers and Electronics in Agriculture. 184:106051
Estimation of biophysical parameters at various crop growth stages is vital for precision agricultural crop production. Spatial delineation of crops’ responses to various levels of nutrients helps optimise resources and reduce nutrient leaching. Th
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 20, Iss 1, Pp 71-77 (2017)
Accurate building detection and reconstruction is an important challenge posed to the remote sensing community dealing with LiDAR point cloud. The inherent geometric nature of LiDAR point cloud provides a new dimension to the remote sensing data whic