Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Spectral vector"'
Publikováno v:
Annals of GIS, Vol 0, Iss 0, Pp 1-24 (2022)
This paper explores a spectral vector-based methodology on Landsat 8 bands of the visible wavelengths, that is deep-blue (1) to shortwave infrared (7), to improve the urban land features classification. Using two different ratio models, based on two
Externí odkaz:
https://doaj.org/article/a48d8133745f4c6d8e94ff4e958beaae
Autor:
Tian Ma, Hongliang Fang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 117, Iss , Pp 103216- (2023)
Leaf optical spectra determine vegetation canopy optical spectra. Physically based leaf models are relatively complicated as they require many biophysical and biochemical parameters that are usually difficult to obtain. The aim of this study is to de
Externí odkaz:
https://doaj.org/article/47cb611f24c24c069481e71acc10d26b
Autor:
A. V. Sokolov
Publikováno v:
Наука и техника, Vol 15, Iss 4, Pp 345-352 (2016)
The paper is devoted to the class construction of the most non-linear Boolean bent-functions of any length N = 2k (k = 2, 4, 6…), on the basis of their spectral representation – Agievich bent squares. These perfect algebraic constructions are use
Externí odkaz:
https://doaj.org/article/1cd95a77372c4cd88d8105620b05d6f9
Akademický článek
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Publikováno v:
ECTI Transactions on Electrical Engineering, Electronics, and Communications. 18:17-27
To identify the type of the shooting gun, there are many important parameters to be considered. One key feature is the gunfire sound. It has been shown [1, 2] that applying the Artificial Neural Network or ANN to the gunfire sound database, the gunfi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eb6153e5598e3f1034416e8d5ed3c66
https://doi.org/10.37936/ecti-eec.2020181.215607
https://doi.org/10.37936/ecti-eec.2020181.215607
Publikováno v:
Earth and Space Science, Vol 6, Iss 7, Pp 1057-1066 (2019)
Cassini/UVIS FUV observations of stellar occultations at Titan are well suited for probing its atmospheric composition and structure. However, due to instrument pointing motion, only five out of tens of observations have been analyzed. We present an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40336ff9ab6f38bae3e3f21f6df31c9
https://doaj.org/article/e4fec0ef66a042b08cc83e3cdd8597fa
https://doaj.org/article/e4fec0ef66a042b08cc83e3cdd8597fa
Publikováno v:
Journal of the Indian Society of Remote Sensing. 47:289-294
Hyperspectral remote sensing imagery provides highly precise spectral information. Thus, it is suitable for the land use classification of urban areas that are composed of complicated structures. In this study, a new spectral angle and vector mapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1747a52099517e24da0a96c6d4addb1d
https://doi.org/10.1007/s12524-018-0929-1
https://doi.org/10.1007/s12524-018-0929-1
We introduce a novel method to generate a beam with frequency-dependent polarization, i.e. a spectral vector beam. Such beams allow determining the frequency spectrum by only measuring polarization, which can reach GHz read-out rates.
Frontiers
Frontiers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::087b0f1614bc9bd68f790013beeaf934
https://nrc-publications.canada.ca/eng/view/object/?id=a9324c08-9482-4621-938c-5fac6043b3bd
https://nrc-publications.canada.ca/eng/view/object/?id=a9324c08-9482-4621-938c-5fac6043b3bd
Publikováno v:
Memetic Computing. 11:175-191
Recently, hyperspectral image classification is attracting more and more attention. Since every pixel is represented by a high dimensional spectral vector, the ordinary machine learning algorithms usually require a large number of training samples to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b01654a6a0b9972948a3046a8e934871
https://doi.org/10.1007/s12293-018-0257-6
https://doi.org/10.1007/s12293-018-0257-6
Akademický článek
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