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COMPARISON OF ALGORITHMS FOR CONTROLLED PIXEL-BY-PIXEL CLASSIFICATION OF NOISY MULTICHANNEL IMAGES
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 range of signal-to-noise ratios; an F-measure is use...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Aerospace University «Kharkiv Aviation Institute»
2019-12-01
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| Colecção: | Радіоелектронні і комп'ютерні системи |
| Assuntos: | |
| Acesso em linha: | http://nti.khai.edu/ojs/index.php/reks/article/view/1003 |
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