<title>Using nonparametric statistic methods for identification of structural anomaly boundaries on optical images</title>
Н. К. БакировUfa State Aviation Technical Univ. (Russia)Valeriy K. BagmanovUfa State Aviation Technical Univ. (Russia)Anton E. KisselevUfa State Aviation Technical Univ. (Russia)Albert H. SultanovUfa State Aviation Technical Univ. (Russia)Olimjon Sh. SharipovInstitute of Mathematics (Uzbekistan)Anatoly N. StartsevInstitute of Mathematics (Uzbekistan)Shakir Kasimovich FormanovInstitute of Mathematics (Uzbekistan)
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIEjournal2007en
ABI
Аннотация
The images analysis method for detecting anomaly and its boundary, based on nonparametric criterion for detection of change point of random fields and postanalysis of statistics, is proposed. The objects to be detected on the images of earth's surface or ocean in a possible mathematical model are represented as relatively large homogeneous adjacent subareas (stochastic textures) with rather smooth boundaries. Properties of nonparametric statistical methods for identification of structural anomaly boundaries on optical images in multivariate change point problem are investigated.
Ҳали таржима қилинмаган
Мавзулар
Идентификаторлар
Иқтибослар ва манбалар
0 та иқтибос0 та фойдаланилган манба