In the field of target-detecting , the application of magnetic anomalies methods is almostblank. In this paper, we studied the disadvantage of traditional detecting methods, andintroduced a brand new methods in targets-detecting .The targets-detecting is very special inthe fields of application of magnetic anomalies, because there are so few data to use, Usuallyin our minds, the application of inverse methods must have 3-D data or 2-D data, but intargets-detecting, you have to use very few data or line-data to obtain fast results. In order to fulfill the needs of fast inverse speed , we must find some fake result inadvance . In this paper , we introduce a new methods of finding anomalies area , that isDynamic Trend Analysis . When we get the area of anomalies , and analyzed thecharacteristic of the anomalies , we can get rid of the background fields by ,so the real targetanomalies remains .A specified region can be set , within this region we can put many initialmodel , with which we can obtain many kinds of results after inverse . we appraise all theseresults, most suspicious results can be obtained . In the end , Many kinds of model were made to validate the inverse methods. Also , we putbackground field in the model , most of the results were right . So the new kinds of fastinverse methods can be used in the targets-detecting system. But , new methods must bevalidate in many other kinds of real oceanic conditions , much more work will be done toapproach the most logical results. |