Modeling Technology Research Of The Underwater Mobile Objects Based On The Space-time Correlation

With the rapid development of GIS and Wireless communication, the tracking and monitoring of the underwater moving objects becomes true. In the study of the underwater objects,we have noticed that it is not enough to indentify the kinds of objects and their motion track which are in the harsh underwater environment by traditional methods. In order to solve that, the method of identification of the underwater moving objects has been studied,also its temporal data model is given in this paper. The main contents are as follows,1) The characteristics of properties and tracks of the underwater moving objects have been studied systematically, the influences of them on the accuracy of identification are also analyzed in detail2) For the temporal track characteristics, UMOD, Underwater Moving Object Database,is established. First of all,put forward the trajectory decomposition method based on the spherical coordinates,to reduce the whole complexity of the trajectory;The second,proposed in view of the underwater unknown target of dynamic threshold position update strategy,which introduces the dynamic properties method in the Moving Objects Spatio-Temporal model,exclude the Secondary path decomposition and the error points;At last,the fitting track strategy is proposed to describe the underwater moving objects real-timely, then obtaining the track characteristics of the underwater objects during their moving processes.3) With the study of the characteristics of properties aOnd tracks, the corresponding database is established. At the same time,UMOMFRM, Underwater Moving Objects Mixed Feat -ure Recognition Method, is proposed to indentify the unknown objects.First of all,UMOMFRM excluded the minimum probability of target classification,which uses a fuzzy reasoning method; The second,classify unknown target corresponds to the rest of the calculation of probability by Using bayes classification algorithm;At last,compare the probability of maximum on the basis of the probability threshold value,if there is maximum probability,it is the classification result which category the probability corresponds to,otherwise, the target category for other class.4) Contrast experiment was carried out using simulated data set.First of all, according to the method of UMOD model, to verify the validation of the UMOD model. At last, the UMOMFRM is compared with the existing methods of indentifying the underwater objects through the contrast experiment , to verify the accuracy and validation of UMOMFRM model.