Mkrtchyan F.A. Remote Monitoring Systems for Detecting and Classifying Phenomena on the Sea Surface. In: . Proceedings of the 30th International Symposium on Okhotsk Sea & Sea Ice, 15-19 February 2015, Mombetsu, Hokkaido, Japan , The Okhotsk Sea & Cold Ocean Research Association (OSCORA), Mombetsy, Hokkaido, Japan , С. 79-82.
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The technique of detection offered in given work and identification of the abnormal phenomena in the marine environment (microwave and optical) combines presence with application of possibilities of remote measurements algorithmic and the software, allowing to solve measurement and detection problems in real time. The effective decision of these problems is impossible without wide introduction in practice of researches of the automated systems of gathering, storage and data processing on the basis of modern computer systems with application of technology of open systems. Already created methods and algorithms possess ability to overcome such difficulties, as scantiness and not stationary information, presence small statistically non-uniform samples. It is obvious that complex research of the given land and remote measurements can raise reliability of estimations of parameters of natural systems and solve a problem of planning of these measurements. Application of means of remote monitoring in many cases is connected with acceptance of the statistical decision on presence on a surveyed part of studied space of this or that phenomenon. One of features of conditions of gathering of the information for such decision is the impossibility of reception statistical samples great volumes. Therefore working out and research of optimum algorithms of distinction of the casual signals characterized by samples of the limited volume, in the conditions of parametrical aprioristic indefinite are necessary. The reported study was partially supported by RFBR, research project No.13-07-00146
| Тип объекта: | Доклад на конференции или семинаре (Приглашенный доклад) |
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| Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: | Мкртчян Ф.А. |
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| URI: | http://cplire.ru:8080/id/eprint/539 |
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