Zobrazeno 1 - 10
of 41
pro vyhledávání: '"M. Borzov"'
Autor:
Vladimir V. Shipko, Vitold E. Pozhar, Alexander S. Machikhin, Ivan A. Balandin, Sergey M. Borzov, Alexander V. Lushchik, Alexander V. Kiselev
Publikováno v:
Light & Engineering. :31-39
An approach to the construction of a hyperspectral system is proposed and justified, providing control of spectral, spatial, and radiometric (brightness) resolution, which opens up the possibility of hyperspectral monitoring of objects with limited c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83700d37f9f4ca682026b75072ca2c3c
https://doi.org/10.33383/2022-036
https://doi.org/10.33383/2022-036
Autor:
V. V. Shipko, S. M. Borzov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 58:273-280
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8e5c9e0f5f49a4caddb74717317e998
https://doi.org/10.3103/s8756699022030062
https://doi.org/10.3103/s8756699022030062
Autor:
O. I. Potaturkin, D. V Alant’ev, S. N. Zhukov, S. M. Borzov, A. P. Chikhonadskikh, S. B. Uzilov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 57:303-310
The work is devoted to the creation and research of a model of a laser pulse location (LPL) system without the use of an electron-optical converter (EOC) as an external shutter. The system is designed to detect light reflecting objects (LROs), includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3403ea93152e380c7b02f2fd914a72a
https://doi.org/10.3103/s875669902103002x
https://doi.org/10.3103/s875669902103002x
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 57:89-96
The method of pulse laser location is studied in relation to the problem of detecting retroreflective objects, including optical and optoelectronic surveillance devices. Using the created mobile specialized hardware and software stand, the retrorefle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a4c493249a20525fbb2ccd8dee1642a
https://doi.org/10.3103/s8756699021010027
https://doi.org/10.3103/s8756699021010027
Autor:
O. I. Potaturkin, S. M. Borzov
Publikováno v:
Компьютерная оптика, Vol 44, Iss 6, Pp 937-943 (2020)
Classification of the land cover types from multi- and hyperspectral (HS) imagery is traditionally carried out on the basis of analysis of scatter plots of pixel values in a multidimensional feature space, which are used as brightness in individual c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed540ecc2429ee2eaa830e639ae3a28b
http://www.computeroptics.smr.ru/eng/KO/Annot/KO44-6/440611e.html
http://www.computeroptics.smr.ru/eng/KO/Annot/KO44-6/440611e.html
Autor:
S. M. Borzov, O. I. Potaturkin
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 56:431-439
The methods based on processing video data have shown their efficiency in many areas of agriculture and forestry. Nevertheless, they are not enough accurate for classification of barely discernible objects and types of plants, which can be provided o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::235abbce96eedfcc787331a535cc375d
https://doi.org/10.3103/s8756699020040032
https://doi.org/10.3103/s8756699020040032
Publikováno v:
Компьютерная оптика, Vol 43, Iss 3, Pp 464-473 (2019)
The article is devoted to the effectiveness research of methods of controlled spectral and spectral-spatial classification of hyperspectral data. In particular, minimum distance, support vector machine, mahalanobis distance and maximum likelihood met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321f2af549534301d01045cc1dedc61e
http://computeroptics.smr.ru/KO/PDF/KO43-3/430315.pdf
http://computeroptics.smr.ru/KO/PDF/KO43-3/430315.pdf
Autor:
S. M. Borzov, O. I. Potaturkin
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 54:582-599
Various methods of spectral-spatial classification of hyperspectral data are reviewed. Papers devoted to the most popular ways of using spatial information for increasing the accuracy of classification maps are considered. It is shown that the best r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53c29cb1df1d5ecdc01ca01a83f0776e
https://doi.org/10.3103/s8756699018060079
https://doi.org/10.3103/s8756699018060079
Autor:
O. I. Potaturkin, S. M. Borzov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 54:76-82
The efficiency of the methods of controlled spectral and spectral-spatial classification of vegetation types on the basis of hyperspectral pictures with different methods of training set formation is evaluated. The dependence of the classification ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::686c740d5271d9fc99b247417c9560bf
https://doi.org/10.3103/s8756699018010120
https://doi.org/10.3103/s8756699018010120
Autor:
O. I. Potaturkin, S. M. Borzov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 53:26-34
The efficiency of methods of the spectral-spatial classification of similarly looking types of vegetation on the basis of hyperspectral data of remote sensing of the Earth, which take into account local neighborhoods of analyzed image pixels, is expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8588dceb8971309cee7f3385e6158b65
https://doi.org/10.3103/s8756699017010058
https://doi.org/10.3103/s8756699017010058