000			03156naaaa2200397uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/40315
005			20220219221155.0
020			_a9783038429333
020			_a9783038429340
041	0		_aEnglish
042			_adc
100	1		_aHong Wei (Ed.) _4auth
700	1		_aFeng-Bao Yang (Ed.) _4auth
700	1		_aShuli Sun (Ed.) _4auth
700	1		_aXue-Bo Jin (Ed.) _4auth
245	1	0	_aAdvances in Multi-Sensor Information Fusion: Theory and Applications 2017
260			_bMDPI - Multidisciplinary Digital Publishing Institute _c2018
300			_a1 electronic resource (VIII, 560 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aThe information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time or at different times. A suitable combination of investigative methods can substantially increase the profit of information in comparison with that from a single sensor. Multi-sensor information fusion has been a key issue in sensor research since the 1970s and it has been applied in many fields, such as geospatial information systems, business intelligence, oceanography, discovery science, intelligent transport systems, wireless sensor networks, etc. Recently, thanks to the vast development in sensor and computer memory technologies, more and more sensors are being used in practical systems and a large amount of measurement data are recorded and restored, which may actually be the "time series big data". For example, sensors in machines and process control industries can generate a lot of data, which have real, actionable business value. The fusion of these data can greatly improve productivity through digitization. The goal of this Special Issue is to report on innovative ideas and solutions for the methods of multi-sensor information fusion in the emerging applications era, focusing on development, adoption and applications.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/
546			_aEnglish
653			_aThe structure and/or levels of multi-sensor fusion system
653			_aRemote sensing data processing
653			_aInformation (speech or image
653			_aUncertain information integration
653			_aTracking from multi-sensor system
653			_aThe basic theory of the information fusion
653			_aKnowledge cognitive based on multi-sensor system
653			_aPossibility theory and other reasoning methods
653			_aetc.) fusion processing
653			_aModeling by the big data from multi-sensor system
653			_aFusion decision theory
856	4	0	_awww.oapen.org _uhttp://www.mdpi.com/books/pdfview/book/655 _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/40315 _70 _zDOAB: description of the publication
999			_c47156 _d47156