Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Ramesh Sivanpillai"'
Publikováno v:
IEEE Access, Vol 11, Pp 47040-47052 (2023)
Training deep learning-based image segmentation networks require large number of samples of adequate quality. However, obtaining large number of samples is not possible in certain domains. Recent approaches use augmentation and transfer learning tech
Externí odkaz:
https://doaj.org/article/c1bd4373e9d8495cb5c546a87ec2df4d
Publikováno v:
2023 10th International Conference on Signal Processing and Integrated Networks (SPIN).
Publikováno v:
2023 10th International Conference on Signal Processing and Integrated Networks (SPIN).
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-M-3-2021, Pp 155-161 (2021)
Deep learning (DL) methods are used for identifying objects in aerial and ground-based images. Detecting vehicles, roads, buildings, and crops are examples of object identification applications using DL methods. Identifying complex natural and man-ma
Autor:
S. K. Weidler, Ramesh Sivanpillai
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-M-2-2020, Pp 105-110 (2020)
Every autumn, leaves of deciduous trees change from green to other colors and eventually drop to the ground. The rate of color change is influenced by a several factors including the amount of sunlight and temperature. As part of an inquiry-based lea
Rapid flood inundation mapping by differencing water indices from pre- and post-flood Landsat images
Publikováno v:
Frontiers of Earth Science. 15:1-11
Following flooding disasters, satellite images provide valuable information required for generating flood inundation maps. Multispectral or optical imagery can be used for generating flood maps when the inundated areas are not covered by clouds. We p
Autor:
Ramesh Sivanpillai
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W11, Pp 143-146 (2020)
Students enrolled in an applied remote sensing class at University of Wyoming are required to complete a term research project. They have to apply the concepts learned throughout the semester to address a real-world problem in a natural resource mana
Autor:
Anjana K. Menon, V. V. Sajith Variyar, Ramesh Sivanpillai, V. Sowmya, Gregory K. Brown, K. P. Soman
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811915581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d76d2e573bf2042d20b185c0eb466a4
https://doi.org/10.1007/978-981-19-1559-8_11
https://doi.org/10.1007/978-981-19-1559-8_11
Autor:
R. Rahesh, V. V. Sajith Variyar, Ramesh Sivanpillai, V. Sowmya, K. P. Soman, Gregory K. Brown
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811915581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::872c2862a0f2f4314503f5b76d060a29
https://doi.org/10.1007/978-981-19-1559-8_13
https://doi.org/10.1007/978-981-19-1559-8_13
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-M-3-2021, Pp 7-12 (2021)
High spatial resolution images acquired with drones can provide useful information to farmers for devising suitable management practices and increase crop yield. Data collected as individual frames or images have to be mosaiced using pattern recognit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f67b59ec2552df825c31a37e2d0a5e7
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/7/2021/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/7/2021/