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Uncertainty theories and multisensor...

Appriou, Alain,

Uncertainty theories and multisensor data fusion

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty theories and multisensor data fusionAlain Appriou.
作者:	Appriou, Alain,
出版者:	London, [England] ;ISTE :2014.
面頁冊數:	1 online resource (278 p.) :ill., graphs.
標題:	Multisensor data fusion.
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118578636

Uncertainty theories and multisensor data fusion
Appriou, Alain,

Uncertainty theories and multisensor data fusion[electronic resource] /Alain Appriou. - London, [England] ;ISTE :2014. - 1 online resource (278 p.) :ill., graphs. - Instrumentation and measurement series. - Instrumentation and measurement series..

Includes bibliographical references and index.

Addressing recent challenges and developments in this growing field, Multisensor Data Fusion Uncertainty Theory first discusses basic questions such as: Why and when is multiple sensor fusion necessary? How can the available measurements be characterized in such a case? What is the purpose and the specificity of information fusion processing in multiple sensor systems? Considering the different uncertainty formalisms, a set of coherent operators corresponding to the different steps of a complete fusion process is then developed, in order to meet the requirements identified in the first part of the book.Subjects--Topical Terms:

182455
Multisensor data fusion.

LC Class. No.: TK7872.D48 / .A677 2014eb

Dewey Class. No.: 623.042

Uncertainty theories and multisensor data fusion
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020 $a 9781118578636 (electronic bk.)
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050 1 4 $a TK7872.D48 $b .A677 2014eb
082 0 4 $a 623.042 $2 23
100 1 $a Appriou, Alain, $3 722537
245 1 0 $a Uncertainty theories and multisensor data fusion $h [electronic resource] / $c Alain Appriou.
260 $a London, [England] ; $a Hoboken, New Jersey : $b ISTE : $b Wiley, $c 2014.
300 $a 1 online resource (278 p.) : $b ill., graphs.
490 1 $a Instrumentation and measurement series
504 $a Includes bibliographical references and index.
520 $a Addressing recent challenges and developments in this growing field, Multisensor Data Fusion Uncertainty Theory first discusses basic questions such as: Why and when is multiple sensor fusion necessary? How can the available measurements be characterized in such a case? What is the purpose and the specificity of information fusion processing in multiple sensor systems? Considering the different uncertainty formalisms, a set of coherent operators corresponding to the different steps of a complete fusion process is then developed, in order to meet the requirements identified in the first part of the book.
588 $a Description based on print version record.
650 0 $a Multisensor data fusion. $3 182455
650 0 $a Multisensor data fusion $v Congresses $3 437885
830 0 $a Instrumentation and measurement series. $3 611545
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118578636