| DC Field | Value | Language |
|---|
| dc.contributor.author | Golikov, V. | - |
| dc.contributor.author | Samovarov, O. | - |
| dc.contributor.author | Zhilyakov, E. | - |
| dc.contributor.author | Jose, L. | - |
| dc.contributor.author | Rullan-Lara | - |
| dc.contributor.author | Hussain Alazki | - |
| dc.date.accessioned | 2021-06-29T13:50:51Z | - |
| dc.date.available | 2021-06-29T13:50:51Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Generalized likelihood ratio test for optical subpixel objects’ detection with hypothesis-dependent background covariance matrix / V. Golikov [et al.] // Journal of Applied Remote Sensing. - 2020. - Vol.14, №4.-Art. 046513. - Doi: 10.1117/1.JRS.14.046513. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/42574 | - |
| dc.description.abstract | Much interest has arisen in the problem of detecting weak optical subpixel objects in a sequence of images immersed in a heavy homogeneous Gaussian clutter background. In optical systems, the presence of the objects changes the background plus the channel noise covariance matrix | ru |
| dc.language.iso | en | ru |
| dc.subject | technique | ru |
| dc.subject | cybernetics | ru |
| dc.subject | subpixel detection | ru |
| dc.subject | image sequences | ru |
| dc.subject | unknown background spectra | ru |
| dc.subject | optical objects | ru |
| dc.title | Generalized likelihood ratio test for optical subpixel objects’ detection with hypothesis-dependent background covariance matrix | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
|
