NDLI: Multi-approach strategy for multi-sensor data fusion enhancement: Unified analysis of advanced and unconventional techniques, targeted to airport surveillance enhancement

Content Provider	IEEE Xplore Digital Library
Author	Vertua, C.A. Saini, L. Baud, O. Honore, N. Lawrence, P.E.
Copyright Year	2011
Description	Author affiliation: THALES Italy - Air Operations Division, Milan, Italy (Vertua, C.A.; Saini, L.) \|\| THALES - Air Operations Division, Rungis, France (Baud, O.; Honore, N.; Lawrence, P.E.)
Abstract	Target identification and tracking in Airport Surveillance are heavily influenced by the performance and limitations of the surveillance sensors used. The measurement process of such sensors is adversely affected by environmental clutter and dense traffic conditions and this may result in Multi-Sensor Data Fusion (MSDF) not being able to adequately manage the associated errors. The scope of this study is to identify a number of techniques pertinent to the enhancement of MSDF performance and reliability, and to elaborate on the analysis of some such techniques.
Starting Page	265
Ending Page	270
File Size	226723
Page Count	6
File Format	PDF
ISBN	9781424498413
e-ISBN	9788890348235
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-12
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	A.V.V.-Assoc Vito Violterra
Subject Keyword	Target tracking Multi Sensor Data Fusion Surveillance Surveilllance Sensor phenomena and characterization Target Tracking Radar tracking Airports Cameras Identification
Content Type	Text
Resource Type	Article

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Multi-approach strategy for multi-sensor data fusion enhancement: Unified analysis of advanced and unconventional techniques, targeted to airport surveillance enhancement