隨機集理論及其在信息融合中的應用
Random Set and Its Applications in Information Fusion
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摘要: 多源信息融合經過近20年的發(fā)展已經取得了豐富的理論成果和應用成果，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)計學(FISST)理論隨機集理論的特例，從概率論角度統(tǒng)一表述了信息融合技術的主要方面。該文對近十幾年隨機集信息融合技術的發(fā)展加以回顧，主要包括隨機集理論的產生背景、基本的思想和理論框架，以及當前的應用領域。最后指出了隨機集理論將來可能的發(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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