Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Prabukumar Manoharan"'
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:
In The Egyptian Journal of Remote Sensing and Space Sciences August 2020 23(2):243-248
Publikováno v:
International Journal of Remote Sensing. 42:5105-5143
Hyperspectral image (HSI) classification is one of the growing research areas in Remote Sensing. The high dimensionality of the data cube and a high correlation among the hyperspectral bands, poses...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a390f9129070918ee658dec9a7b0e68
https://doi.org/10.1080/01431161.2021.1906979
https://doi.org/10.1080/01431161.2021.1906979
Akademický článek
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Autor:
Prabukumar Manoharan, R S Vaddi
Publikováno v:
IET Image Processing. 14:3909-3919
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://explore.openaire.eu/search/publication?articleId=doi_________::0c1ac6b8b5ff86fdad17eb396647e89c
https://doi.org/10.1049/iet-ipr.2020.0728
https://doi.org/10.1049/iet-ipr.2020.0728
Publikováno v:
Multimedia Tools and Applications. 80:1725-1748
Selection of useful bands plays a very important role in hyperspectral image classification. In the past decade, metaheuristic algorithms have been used as promising methods for solving this problem. However, many metaheuristic algorithms may provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141fe3cefcabb7ebc1c32d24dbb767c2
https://doi.org/10.1007/s11042-020-09705-9
https://doi.org/10.1007/s11042-020-09705-9
Publikováno v:
International Journal of Remote Sensing. 41:3948-3969
Band selection is an effective means of reducing the dimensionality of the hyperspectral image by selecting the most informative and distinctive bands. Bands are usually selected by adoptin...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b144b7296a8c67b5165bb02d81a9967f
https://doi.org/10.1080/01431161.2019.1711242
https://doi.org/10.1080/01431161.2019.1711242
Akademický článek
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Autor:
Prabukumar Manoharan, R S Vaddi
Publikováno v:
Journal of Applied Remote Sensing. 15
Hyperspectral image (HSI) classification is major and necessary task related to HSI analysis in the field of remote sensing. The fundamental steps in this task are band selection (BS), spatial feature extraction, and classification. HSIs generally eq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8f46f29ca05f1d656e81ba70f0f75c
https://doi.org/10.1117/1.jrs.15.044506
https://doi.org/10.1117/1.jrs.15.044506