The area-based methods, such as that using the Laplacian pyramid and Fourier transform-based phase matching, benefit by highlighting high spatial frequencies to reduce sensitivity to the feature inconsistency problem in the multisensor image registration. The feature extraction and matching methods are more powerful and versatile to process poor quality IR images. We implement multi-scale hiera...

In mobile communication systems with multisensor antennas at base stations, downlink channel estimation plays a key role because accurate channel estimates are needed for transmit beamforming. One efficient approach to this problem is channel probing with feedback. In this method, the base station array transmits probing (training) signals. The channel is then estimated from feedback reports pr...

The lack of robustness against image quality degradation is a open issue in fingerprint verification. It has been found in previous studies that the behavior of a fingerprint verification system may vary depending on the quality of the fingerprints. In this paper, we study the performance for individual users under varying image conditions using a multisensor database acquired with three differ...

This paper presents a system for classiication of scenes using a multisensor integration framework. Indoor scenes are imaged using a visual and an infrared sensor and the images processed in three stages to perform classiication of sensed objects into two classes: human and background. Finally, information from individual classiiers is integrated in order to obtain an improved classiication per...

In this contribution a fuzzy management system is developed to cope with the problem of evaluating multisensor tasks in defence surveillance applications. Based on all the surveilled track and sector data, a reasoning system will be developed which determines the priority of each surveillance task to be performed in each decision cycle by means of a symbolic inference process similar to that wh...

The aim of this article is to develop a GPS/IMU Multisensor fusion algorithm, taking context into consideration. Contextual variables are introduced to define fuzzy validity domains of each sensor. The algorithm increases the reliability of the position information. A simulation of this algorithm is then made by fusing GPS and IMU data coming from real tests on a land vehicle. Bad data delivere...

| In remote sensing, image data are evaluated according to diierent concepts. From a scientiic point of view the goal of the evaluation often is to extract as much information as possible from a given data set. For practical applications the goal is rather to obtain information as eeciently as possible and as reliably as necessary. Starting with these observations the paper discusses and contra...

This paper considers the problem of recursive filtering for linear discrete-time systems with uncertain observation. A new approximate adaptive filter with a parallel structure is herein proposed. It is based on the optimal mean square combination of arbitrary number of correlated estimates which is also derived. The equation for error covariance characterizing the mean-square accuracy of the n...