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pro vyhledávání: '"Radhesyam Vaddi"'
Autor:
Radhesyam Vaddi, B.L.N. Phaneendra Kumar, Prabukumar Manoharan, L. Agilandeeswari, V. Sangeetha
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 1, Pp 82-92 (2024)
The technological advancements in spectroscopy give rise to acquiring data about different materials on earth's surface which can be utilized in a variety of potential applications. But, the hundreds of spectral bands are generally equipped with high
Externí odkaz:
https://doaj.org/article/0c88df565aa94e909af67de918421fa0
Autor:
Radhesyam Vaddi, Prabukumar Manoharan
Publikováno v:
IET Image Processing, Vol 14, Iss 15, Pp 3909-3919 (2020)
Hyperspectral image (HSI) consists of hundreds of contiguous spectral bands, which can be used in the classification of different objects on the earth. The inclusion of both spectral as well as spatial features stands essential in order that high cla
Externí odkaz:
https://doaj.org/article/963f45d198ff47f6889b1f23f26d9126
Publikováno v:
2022 7th International Conference on Communication and Electronics Systems (ICCES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4469cf7a586dc3f7b53f9537284f8f
https://doi.org/10.1109/icces54183.2022.9835917
https://doi.org/10.1109/icces54183.2022.9835917
Akademický článek
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Autor:
Radhesyam Vaddi, J. C. Karure, Moula Husain, C. V. Jawahar, Menaka Kandasamy, Shankar Setty, Parisa Beham, Bharath Rajan, Jyothi Gudavalli, Vijay Kumar, Raja Raju, Vidyagouri Hemadri
Publikováno v:
NCVPRIPG
Recognizing human faces in the wild is emerging as a critically important, and technically challenging computer vision problem. With a few notable exceptions, most previous works in the last several decades have focused on recognizing faces captured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92699d4098a8b0a5f2509bb6d90a923d
https://doi.org/10.1109/ncvpripg.2013.6776225
https://doi.org/10.1109/ncvpripg.2013.6776225