000			01834cam a22002535i 4500
001			136428
003			ISI Library, Kolkata
005			20151231115737.0
008			140411s2014 nju 000 0 eng
020			_a9781848213548
040			_aISI Library
082	0	4	_a623.042 _223 _bAp652
100	1		_aAppriou, Alain.
245	1	0	_aUncertainty theories and multisensor data fusion / _cAlain Appriou.
260			_aHoboken, NJ : _bISTE Ltd/John Wiley and Sons Inc, _c2014.
300			_axiv, 262 p. : _billustrations ; _c24 cm.
490	0		_aInstrumentation and measurement series
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction-- 1. Multisensor data fusion-- 2. Reference formalisms-- 3. Set management and information propagation-- 4. Managing the reliability of information-- 5. Combination of sources-- 6. Data modeling-- 7. Classification: decision-making and exploitation of the diversity of information sources-- 8. Spatial dimension: data association-- 9. Temporal dimension: tracking-- Conclusion-- Bibliography-- Index.
520			_aAddressing 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.
650		0	_aMultisensor data fusion.
650		0	_aUncertainty (Information theory)
942			_2ddc _cBK
999			_c420000 _d420000