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Synthetic aperture radars (SAR) allow to obtain high resolution terrain images comparable with the resolution of optical methods. Radar imaging is independent on the weather conditions and the daylight. The process of analysis of the SAR images consists primarily of identifying of interesting objects. The ability to determine their geographical coordinates can increase usability of the solution from a user point of view. The paper presents a georeferencing method of the radar terrain images. The presented images were obtained from the SAR system installed on board an Unmanned Aerial Vehicle (UAV). The system was developed within a project under acronym WATSAR realized by the Military University of Technology and WB Electronics S.A. The source of the navigation data was an INS/GNSS system integrated by the Kalman filter with a feed-backward correction loop. The paper presents the terrain images obtained during flight tests and results of selected objects georeferencing with an assessment of the accuracy of the method.

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This paper presents a method of fusion of identification (attribute) information provided by ELINT -ESM sensors (Electronic Intelligence -Electronic Support Measures). In the first section the basic taxonomy of attribute identification in accordance with the standards of STANAG 1241 ed. 5 and STANAG 1241 ed. 6 (draft) is adopted. These standards provide the following basic values of the attributes of identification: FRIEND, HOSTILE, NEUTRAL, UNKNOWN and additional values: ASSUMED FRIEND and SUSPECT. The last values can be interpreted as a conjunction of basic values. The basis of theoretical considerations is the Dezert-Smarandache theory (DSmT) of inference. This paper presents and practically uses combining identification information from different ELINT -ESM sensors one of the information fusion rules proposed by the DSmT -the Proportional Conflict Redistribution #5 rule (PCR5). In the next section rules of determining attribute information by ESM sensor equipped with the data base of radar emitters are presented. It was proposed that each signal vector sent by the ELINT-ESM sensor contained an extension specifying a randomized identification declaration (hypothesis). This declaration specifies the reliability of the identification information -basic belief assignment (bba) for the identification information set. This paper presents a method of determining this belief assignment based on the distance between recognized signal features, vectors and centers of clusters grouping emitter patterns in the pattern data base. Results of the PCR5 rule of sensor information combining for two scenarios are presented in the final part of this paper. Conclusions are given at the end of this paper. They confirm the legitimacy of the use of the Dezert-Smarandache theory into information fusion for ESM sensors.

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