PROGRAMMED TARGET RECOGNITION FRAMEWORKS FOR UNDERWATER MINE CLASSIFICATION

Publication Date : 31/01/2016


Author(s) :

Adokshaja Kulkarni , Manjunath Kandaki.

Volume/Issue :
Volume 2
,
Issue 1
(01 - 2016)

Abstract :

This paper manages a few unique commitments to a programmed target acknowledgment (ATR) framework, which is connected to submerged mine grouping. The commitments focus on highlight determination and object arrangement. Initial, an advanced channel technique is intended for the component choice. Second, in the progression of article arrangement, a group learning plan in the structure of the Dempster–Shafer hypothesis is acquainted with wire the outcomes acquired by various classifiers. This combination can enhance the arrangement execution. We propose a sensible development of the essential conviction task .

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