The clutter removal which uses the adaptation appraisal of clutter probability density function

摘要

(57) Abstract While representing where interference exists the signal processor which identifies the target which is included is disclosed, processing the track/truck and feature and the target feature presumption where the aforementioned signal processor processes the input image data which includes the target model and the image which process target feature presumption while representing while representing which is output depending upon the territory of the problem which is included and the detection processor and the detection processor which form feature processes the territory and feature of the problem which is included and while representing is connected by the track/truck and generate feature the temporary processor and the target model and the temporary processor which are included, is included while representing, from the image dataIt presumes the feature probability density function of interference be adapted, probability density function and the target feature presumption which are presumed using the Bayes taxonomic device, processing, while representing where interference exists it features that it generates the signal which shows the target which is included. Also method of the mataso is disclosed.