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...

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...

The recent development of the Internet has made an increasing number of information sources available to users. This makes it necessary to submit queries only to the most appropriate sources. When gathering and combining information from these sources the quality ooered can and must be a criterion for source selection. However, information quality has many dimensions and it is thus diicult to d...

Data fusion is concerned with the problem of merging data bases coming from different sources into a single data base when variables are absent or missing in some files. After a survey of the main techniques we present some new approaches, in particular one based on homogeneity analysis and future directions. We insist on validation problems and caveats.