Voir la notice de l'article provenant de la source Math-Net.Ru
[1] Soloveva I. S., Sonechkin D. M., Kharitonov V. F., “Obrabotka i analiz televizionnykh izobrazhenii oblachnosti na EVM”, Tr. Gidromettsentra SSSR, 73, Gidrometizdat, L., 1971, 64–74
[2] Bakst L. A., Fedorova N. N., “Issledovanie oblachnosti po mnogospektralnym dannym AVHRR ISZ NOAA dlya tselei sinopticheskogo analiza”, Issl. Zemli iz Kosmosa, 1994, no. 4, 3–8
[3] Tokuno Masami, Tsuchija Kijoshi, “Classification of cloud types based on data of multiple Satellite sensors”, Advances Space Res., 14:3 (1994), 199–206 | DOI
[4] Peak J. E., Tag P. M., “Segmentation of Satellite imagery using hierarchial thresholding and neural networks”, J. Appl. Meteorology, 33:5 (1994), 605–616 | 2.0.CO;2 class='badge bg-secondary rounded-pill ref-badge extid-badge'>DOI
[5] Strabala K. I., Ackerman S. A., Menzel W. P., “Cloud properties infefared from 8–12 $\mu$m data”, J. Appl. Meteorology, 33:2 (1994), 212–219 | 2.0.CO;2 class='badge bg-secondary rounded-pill ref-badge extid-badge'>DOI
[6] Bakst L., Fedorova N., “On some methods of synoptic analysis based on the study of the multyspectral satellite data variation”, 9-th Meteosat Scient. User's Meeting (Locarno, Switzerland, 1992), 25–32
[7] Bankertt R. L., “Cloud classification of AVHRR imagery in maritime regions using a probabilistic neural network”, J. Appl. Meteorology, 33:8 (1994), 1023–1039
[8] Voloshin G. Ya., Burlakov I. A., Kosenkova S. T., Statisticheskie metody resheniya zadach raspoznavaniya, osnovannye na approksimatsionnom podkhode, Ch. 1, Vladivostok, 1992
[9] Anderson T., Vvedenie v mnogomernyi statisticheskii analiz, Fizmatiz, M., 1963
[10] Day N. E., “Estimating the components of a mixture of normal distributions”, Biometrika, 56:3 (1969), 463–474 | DOI | MR | Zbl
[11] Shlezinger M. I., “Vzaimosvyaz obucheniya i samoobucheniya v raspoznavanii obrazov”, Kibernetika, 1968, no. 2, 81–88
[12] Aprausheva N. N., Algoritm rasschepleniya smesi normalnykh klassov, Programmy i algoritmy, 68, TsEMI AN SSSR, M., 1976
[13] Aprausheva N. N., “Issledovanie odnogo algoritma rasschepleniya smesi normalno raspredelennykh klassov”, Mnogomernyi statistich. analiz v sotsialno-ekonomich. issl., Nauka, M., 1974, 135–150
[14] Aprausheva N. N., “Preobrazovanie priznakov pri statisticheskom reshenii odnoi zadachi avtomaticheskoi klassifikatsii”, Izv. AN SSSR. Ser. Tekhn. kibernetika, 1985, no. 2, 167–174
[15] Aprausheva N. N., Novyi podkhod k obnaruzheniyu klasterov, VTs RAN, M., 1993
[16] Dyuran B., Odell P., Klasternyi analiz, Statistika, M., 1975
[17] Aprausheva N. N., “Opredelenie chisla klassov v zadachakh klassifikatsii”, Izv. AN SSSR. Ser. Tekhn. kibernetika, 1981, no. 3, 71–77 | MR | Zbl
[18] Uilks S., Matematicheskaya statistika, Nauka, M., 1973
[19] Aprausheva N. N., “Opredelenie chisla klassov v zadachakh klassifikatsii”, Izv. AN SSSR. Ser. Tekhn. kibernetika, 1981, no. 5, 153–160 | MR | Zbl
[20] Aprausheva N. N., Bakst L. A., Gorlach I. A. i dr., O raspoznavanii tipov frontalnoi oblachnosti po dannym ISZ, VTs RAN, M., 1996
[21] Kramer G., Matematicheskie metody statistiki, Mir, M., 1976
[22] Feller V., Vvedenie v teoriyu veroyatnostei i ee prilozheniya, Mir, M., 1984