隨機(jī)集理論及其在信息融合中的應(yīng)用
Random Set and Its Applications in Information Fusion
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摘要: 多源信息融合經(jīng)過(guò)近20年的發(fā)展已經(jīng)取得了豐富的理論成果和應(yīng)用成果，但是其理論框架尚未建立。近幾年由Mahler提出的有限集合統(tǒng)計(jì)學(xué)(FISST)理論隨機(jī)集理論的特例，從概率論角度統(tǒng)一表述了信息融合技術(shù)的主要方面。該文對(duì)近十幾年隨機(jī)集信息融合技術(shù)的發(fā)展加以回顧，主要包括隨機(jī)集理論的產(chǎn)生背景、基本的思想和理論框架，以及當(dāng)前的應(yīng)用領(lǐng)域。最后指出了隨機(jī)集理論將來(lái)可能的發(fā)展方向。Abstract: The theory and method of multi-source information fusion have acquired plenty of the outcomes in the past 20 years. However the theoretical framework of information fusion is not established up to the present. Recently the finite set statistics (FISST) approach, a special random set method, has been proposed by Mahler. FISST provides a fully unified probabilistic foundation for the major aspects of multi-source information fusion. This paper reviews several main aspects of the random set information fusion research that include the background, the key ideas, the theoretical framework and the applications of FISST. Finally several possible future directions of FISST are discussed.
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