this paper presents a new multi-sensor data fusion method based on the combination of wavelettransform (wt) and extended kalman filter (ekf). input data are first filtered by a wavelettransform via daubechies wavelet “db4” functions and the filtered data are then fused based onvariance weights in terms of minimum mean square error. the fused data are finally treated byextended kalman filter for...

Poor information means incomplete and insufficient information, such as unknown probability distributions and trends. In this case, many statistical methods may become ineffective. So a fusion method based on the information poor theory is proposed. The fusion method contains five methods, three concepts, and one rule. The five methods include the rolling mean method, the membership function me...

In this paper, three different image fusion techniques are discussed and evaluated for the specific application of large-scale mapping of non-green vegetation. Additional synthetic scenes are used in the evaluation to exclude specific sources of errors and to cover a wide range of scene conditions.

Objective: The aim of the current study was to investigate the role of fusion beliefs and metacognitions in obsessive–compulsive symptoms in the general population. Methods: A sample of 200 students of Kharazmi University was selected from various faculties and completed the following questionnaires: Metacognitions Questionnaire-30 (MCQ-30), Thought-Fusion Instrument (TFI) and Maudsley Obses...

Abstract. Multisensor data fusion technology is a new frontier technology. According to the demand of greenhouse environment monitoring, the paper puts forward a new kind of data fusion method based on Dempster-Shafer (D-S) evidence theory and agricultural expert system. The experimental results show that the method can improve the veracity of decision of measuring and controlling greenhouse en...

The development of data fusion systems capable of incorporating soft humangenerated data into the fusion process is an emerging trend in the fusion community, motivated mainly by asymmetric warfare situations where the observational opportunities for traditional hard sensors are restricted. This paper describes an extension of our prototype soft/hard data fusion system, based on RFS theory, fro...

We show that the fusion rule for a modular invariant Ertype conformal field theory, which is constructed from the one for the A,(l) Kac-Moody algebra by naive extension, is not associative. Then by imposing .further restrictions to this naive fusion rule, we obtain associative fusion rules for the E7-type conformal field theory. Unlike the case of an E6-type conformal field theory, these fusion...