Zobrazeno 1 - 10
of 59
pro vyhledávání: '"B., Krishna Mohan"'
Publikováno v:
In Computer Vision and Image Understanding November 2019 188
Autor:
H. Chauhan, B. Krishna Mohan
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-8, Pp 83-90 (2014)
The present study was undertaken with the objective to check effectiveness of spectral similarity measures to develop precise crop spectra from the collected hyperspectral field spectra. In Multispectral and Hyperspectral remote sensing, classificati
Externí odkaz:
https://doaj.org/article/d397399332ea493cacc00bc1c5f81335
Akademický článek
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Autor:
Divya, Gupta, Farhan, Ahmed, Dixit, Tandel, Haripriya, Parthasarathy, Dhiviya, Vedagiri, Vishal, Sah, B, Krishna Mohan, Rafiq Ahmad, Khan, Chiranjeevi, Kondiparthi, Prabhudas, Savari, Sandesh, Jain, Shashikala, Reddy, Jerald Mahesh, Kumar, Nooruddin, Khan, Krishnan Harinivas, Harshan
Publikováno v:
Clinical immunology (Orlando, Fla.). 237
Neutralizing antibody-based passive immunotherapy could be an important therapeutic option against COVID-19. Herein, we demonstrate that equines hyper-immunized with chemically inactivated SARS-CoV-2 elicited high antibody titers with a strong virus-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7bde11bd72f20022b839854894b32d01
https://pubmed.ncbi.nlm.nih.gov/35306171
https://pubmed.ncbi.nlm.nih.gov/35306171
Autor:
Divya Gupta, Farhan Ahmed, Dixit Tandel, Haripriya Parthasarathy, Dhiviya Vedagiri, Vishal Sah, B. Krishna Mohan, Rafiq Ahmad Khan, Chiranjeevi Kondiparthi, Prabhudas Savari, Sandesh Jain, Shashikala Reddy, Jerald Mahesh Kumar, Nooruddin Khan, Krishnan Harinivas Harshan
Publikováno v:
Clinical Immunology. 237:108981
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a363776ba93424e621b123a5f8920c8f
https://doi.org/10.1016/j.clim.2022.108981
https://doi.org/10.1016/j.clim.2022.108981
Publikováno v:
2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS).
Convolutional neural networks (CNN) which is a feature-based machine learning algorithm is very popular in hyperspectral image (HSI) classification. CNN exploits the spatial relationship between HIS. However, HSI intrinsically have a sequence-based d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::074bdbff64513da0679e5ef5295cbf6e
https://doi.org/10.1109/ingarss48198.2020.9358957
https://doi.org/10.1109/ingarss48198.2020.9358957
Effectiveness of SID as Spectral Similarity Measure to Develop Crop Spectra from Hyperspectral Image
Autor:
B. Krishna Mohan, Hasmukh J. Chauhan
Publikováno v:
Journal of the Indian Society of Remote Sensing. 46:1853-1862
The present study was undertaken with the objective to check effectiveness of spectral information divergence (SID) to develop spectra from image for crop classes based on spectral similarity with field spectra. In multispectral and hyperspectral rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75fb5970df37faae986ccabd1db7d307
https://doi.org/10.1007/s12524-018-0845-4
https://doi.org/10.1007/s12524-018-0845-4
Publikováno v:
International Journal of Remote Sensing. 38:4645-4654
The role of synthetic aperture radar SAR-image-based flood area mapping is proved beyond the doubts. It is also well known that different wavelength, polarization SAR reacts in varying ways over the same land-use/land-cover region. In line to this, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::491fbfe924f7a76f2047d5e8e96de48c
https://doi.org/10.1080/01431161.2017.1325534
https://doi.org/10.1080/01431161.2017.1325534
Publikováno v:
2019 URSI Asia-Pacific Radio Science Conference (AP-RASC).
In this paper, a robust invisible watermarking algorithm for satellite imagery using Curvelet Transform is proposed. Haralick Co-occurrence texture features [1] are used to identify the area for watermarking in the host image. Host image is tiled int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eed31ff9fdff6efee66bc41bb80f617a
https://doi.org/10.23919/ursiap-rasc.2019.8738393
https://doi.org/10.23919/ursiap-rasc.2019.8738393
Additive manufacturing (AM) is acquiring attention in the field of manufacturing. The technique facilitates building of parts through the addition of materials using a computerized three-dimensional solid model. However, the process does not require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c1e631985fc8e14a07f8134511b90cb
https://doi.org/10.4018/978-1-5225-9167-2.ch001
https://doi.org/10.4018/978-1-5225-9167-2.ch001
