Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Filip Pałka"'
Publikováno v:
Sensors, Vol 21, Iss 7, p 2293 (2021)
This study is focused on applying genetic algorithms (GAs) to model and band selection in hyperspectral image classification. We use a forensic-inspired data set of seven hyperspectral images with blood and five visually similar substances to test GA
Externí odkaz:
https://doaj.org/article/5db263557d1a4f98bad583c3aa7a81d7
Autor:
Konrad Grzanek, Zdzisław Szymański, Marek Waligora, Robert Cierniak, Filip Pałka, Piotr Pluta, Vincenzo Piuri
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 11:271-286
This paper presents a new image reconstruction method for spiral cone- beam tomography scanners in which an X-ray tube with a flying focal spot is used. The method is based on principles related to the statistical model-based iterative reconstruction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e720e488ad5fc18679870ca9bef54860
https://doi.org/10.2478/jaiscr-2021-0016
https://doi.org/10.2478/jaiscr-2021-0016
Publikováno v:
Sensors, Vol 21, Iss 2293, p 2293 (2021)
Sensors
Volume 21
Issue 7
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 7
Sensors (Basel, Switzerland)
This study is focused on applying genetic algorithms (GAs) to model and band selection in hyperspectral image classification. We use a forensic-inspired data set of seven hyperspectral images with blood and five visually similar substances to test GA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d041a79fe1ce4753cbc4bc5d5c6a01a
https://doi.org/10.3390/s21072293
https://doi.org/10.3390/s21072293