Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Galina Proskura"'
Publikováno v:
Авіаційно-космічна техніка та технологія, Vol 0, Iss 1, Pp 67-77 (2023)
Remote sensing data are widely used in numerous applications. A conventional task solved using remote sensing images is their classification. The classification maps are commonly produced by some pre-trained classifiers applied either to uncompressed
Externí odkaz:
https://doaj.org/article/3c1592dbd9004ce8b47685d8334dfed4
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 174-189 (2022)
Remote sensing images have found numerous applications nowadays. A traditional outcome or intermediate result of their processing is a classification map. Such maps are usually obtained from a pre-trained classifier and it is desired to have the prod
Externí odkaz:
https://doaj.org/article/689f7754f1b748a594f80bc600f94e5a
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 4, Pp 39-46 (2019)
The subject of this study is the pixel-by-pixel controlled classification of multichannel satellite images distorted by additive white Gaussian noise. The paper aim is to study the effectiveness of various methods of image classification in a wide ra
Externí odkaz:
https://doaj.org/article/5d011ce5539846afb37b0de383341e7c
Publikováno v:
2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::082a8c86ca8d15809df80f9d45de5787
https://doi.org/10.1109/tcset55632.2022.9766942
https://doi.org/10.1109/tcset55632.2022.9766942
Publikováno v:
2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA).
A task of classification of multichannel remote sensing images compressed in a lossy manner is considered. It is recalled that lossy compression usually leads to reduction of classification accuracy both in aggregate and for particular classes. Disto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44f8f7c0f32efe67c821622f12d1ce3
https://doi.org/10.1109/radioelektronika49387.2020.9092371
https://doi.org/10.1109/radioelektronika49387.2020.9092371
Publikováno v:
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
Visual quality of an image is important factor at all stages of its processing. Images taken by modern devices, such as, digital cameras or smartphones can be distorted by the noise. Currently various effective denoising methods are available to supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dc0b1acd34a2c6a2aa5bc043cff5d0c
https://doi.org/10.1109/tcset49122.2020.235543
https://doi.org/10.1109/tcset49122.2020.235543
Publikováno v:
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
A post-classification processing technique for noisy multichannel image that includes the method of local spatial filtering of segmented images in pseudo colors and multilayer classification algorithm is proposed. The post-classification processing e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cde6ea3a12f59e41bc01f7bdbf0b8eed
https://doi.org/10.1109/tcset49122.2020.235488
https://doi.org/10.1109/tcset49122.2020.235488
Publikováno v:
Telecommunications and Radio Engineering. 77:1497-1515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7573399c2b1519a030ead5de6bc11f23
https://doi.org/10.1615/telecomradeng.v77.i17.20
https://doi.org/10.1615/telecomradeng.v77.i17.20
Publikováno v:
Telecommunications and Radio Engineering. 77:891-904
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7935d974c61d61635529f1fc7f8d4eb
https://doi.org/10.1615/telecomradeng.v77.i10.50
https://doi.org/10.1615/telecomradeng.v77.i10.50
Publikováno v:
2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T).
A post-classification processing technique for multi-channel images that includes three stages is proposed. The purpose of the first stage is to correct decisions of pixel-by-pixel classifiers based on estimates of classes’ posterior probabilities.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e15dc03fcedc21e3d760f27c64fda560
https://doi.org/10.1109/picst47496.2019.9061380
https://doi.org/10.1109/picst47496.2019.9061380