Erik Blasch, P. Valin, É. Bossé, Maria Nilsson, J. V. Laere, E. Shahbazian
{"title":"Implication of culture: User roles in information Fusion for enhanced situational understanding","authors":"Erik Blasch, P. Valin, É. Bossé, Maria Nilsson, J. V. Laere, E. Shahbazian","doi":"10.5281/ZENODO.22983","DOIUrl":"https://doi.org/10.5281/ZENODO.22983","url":null,"abstract":"Information Fusion coordinates large-volume data processing machines to address user needs. Users expect a situational picture to extend their ability of sensing events, movements, and activities. Typically, data is collected and processed for object location (e.g. target identification) and movement (e.g. tracking); however, high-level reasoning or situational understanding depends on the spatial, cultural, and political effects. In this paper, we explore opportunities where information fusion can aid in the selection and processing of the data for enhanced tacit knowledge understanding by (1) display fusion for data presentation (e.g. cultural segmentation), (2) interactive fusion to allow the user to inject a priori knowledge (e..g. cultural values), and (3) associated metrics of predictive capabilities (e.g. cultural networks). In a simple scenario for target identification with deception, cultural information impacts on situational understanding is demonstrated using the Technology-Emotion-Culture-Knowledge (TECK) attributes of the Observe-Orient-Decide-Act (OODA) model.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124161653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DSm theory for fusing highly conflicting ESM reports","authors":"P. Valin, Pascal Djiknavorian, Dominic Grenier","doi":"10.5281/ZENODO.22451","DOIUrl":"https://doi.org/10.5281/ZENODO.22451","url":null,"abstract":"Electronic Support Measures consist of passive receivers which can identify emitters coming from a small bearing angle, which, in turn, can be related to platforms that belong to 3 classes: either Friend, Neutral, or Hostile. Decision makers prefer results presented in STANAG 1241 allegiance form, which adds 2 new classes: Assumed Friend, and Suspect. Dezert-Smarandache (DSm) theory is particularly suited to this problem, since it allows for intersections between the original 3 classes. Results are presented showing that the theory can be successfully applied to the problem of associating ESM reports to established tracks, and its results identify when miss-associations have occurred and to what extent. Results are also compared to Dempster-Shafer theory which can only reason on the original 3 classes. Thus decision makers are offered STANAG 1241 allegiance results in a timely manner, with quick allegiance change when appropriate and stability in allegiance declaration otherwise.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122851147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of a color fused dual-band NVG","authors":"M. Hogervorst, A. Toet","doi":"10.1117/12.819114","DOIUrl":"https://doi.org/10.1117/12.819114","url":null,"abstract":"We designed and evaluated a dual-band Night Vision Goggles sensor system. The sensor system consists of two optically aligned NVGs fitted with filters splitting the sensitive range into a visual and a near-infrared band. The Color-the-night technique (Hogervorst & Toet, FUSION2008) was used to fuse the images of the two sensors, using a color scheme optimized for the detection of camouflaged targets. The added value of this system was established in an experiment in which observers detected targets (green and blue tubes). Performance was measured for daytime imagery and nighttime imagery: each of the two individual bands, standard NVG, and the color fused sensor system. We found that some of the targets were detected in the individual bands, but most targets were detected in the dual-band system. The fact that performance in the dual-band condition is comparable to the sum of the two individual bands indicates that the fusion method is (close to) optimal. An experiment in which subjective reports were gathered shows that the colored dual-band images are easier to grasp and give a better sense of depth. Our evaluation shows the added value of dual-band over single band NVG for the detection of targets, situational awareness, and perceived depth.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126715540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of HRR radar processing on moving target identification performance","authors":"B. Kahler, Erik Blasch","doi":"10.5281/ZENODO.22978","DOIUrl":"https://doi.org/10.5281/ZENODO.22978","url":null,"abstract":"Airborne radar tracking in moving ground vehicle scenarios is impacted by sensor, target, and environmental dynamics. Moving targets can be assessed with 1-D High Range Resolution (HRR) Radar profiles with sufficient signal-to-noise (SNR) present which contain enough feature information to discern one target from another to help maintain track or to identify the vehicle. Typical radar clutter suppression algorithms developed for processing moving ground target data not only remove the surrounding clutter but also a portion of the target signature. Enhanced clutter suppression can be achieved using a multi-channel signal subspace (MSS) algorithm which preserves target features. In this paper, we (1) exploit extra information from enhanced clutter suppression for automatic target recognition (ATR), (2) present a gain comparison using displaced phase center antenna (DPCA) and MSS clutter suppressed HRR data; and (3) develop a confusion-matrix identity result for simultaneous tracking and identification (STID). The results show that more channels for MSS increase ID over DCPA, result in a slightly noisier clutter suppressed image, and preserve more target features after clutter cancellation","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126736438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real world implementation of belief function theory to detect dislocation of materials in construction","authors":"S. Razavi, C. Haas, P. Vanheeghe, E. Duflos","doi":"10.5281/ZENODO.23229","DOIUrl":"https://doi.org/10.5281/ZENODO.23229","url":null,"abstract":"Dislocations of construction materials on large sites represent critical state changes. The ability to detect dislocations automatically for tens of thousands of items can ultimately improve project performance significantly. A Belief_function -based data fusion algorithm was developed to estimate materials locations and detect dislocations. Dislocation is defined as the change between discrete sequential locations of critical materials such as special valves or fabricated items, on a large construction project. Detecting these dislocations in a noisy information environment where low cost Radio Frequency Identification tags are attached to each piece of material, and the material is moved sometimes only a few meters, is the main focus of this study. This work is a continuation of previous research, in which we tackled the location estimation problem by fusing the data from a simulation model. The results indicate the potential of the Belief_function based algorithm to detect object dislocation.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134500600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying the PCR6 Rule of combination in real time classification systems","authors":"K. Scholte, W. V. Norden","doi":"10.5281/ZENODO.34772","DOIUrl":"https://doi.org/10.5281/ZENODO.34772","url":null,"abstract":"Modern navies face the introduction of new ships with reduced and less trained manning and new, more complex, sensor systems. These trends could result in operator overload which might be solved by introducing a higher level of automation. In case of classification, a sub process of picture compilation, the problem of conflicting sensor data can be solved by proportional redistribution of conflict according to the PCR6 algorithm. This method is computationally demanding to such an extend that the applicability is limited in practice. The methodology in this paper adapts the PCR6 algorithm by simplification of the solution space of the algorithm by preprocessing the input data. Comparison tests show that this simplification reduces computing time by at least a factor hundred while the effects on the output are limited. We conclude that by applying preprocessing the pcr6 algorithm can be applied in real time classifications systems using common computer hardware.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Calo, D. Wood, P. Zerfos, D. Vyvyan, Patrick Dantressangle, G. Bent
{"title":"Technologies for federation and interoperation of coalition networks","authors":"S. Calo, D. Wood, P. Zerfos, D. Vyvyan, Patrick Dantressangle, G. Bent","doi":"10.4018/978-1-61520-855-5.CH006","DOIUrl":"https://doi.org/10.4018/978-1-61520-855-5.CH006","url":null,"abstract":"When data from two or more coalition members is used in a joint mission, the flow of any information over the respective networks must be tightly controlled. Data sent over the networks would be routed through nodes that should enforce policies concerning: what information about each coalition member's assets will be exchanged with other coalition members; who, with what authentication, and under what conditions can access the information, and in what form it can be provided. We discuss the requirements of such a policy-enabled federated network, in which any node could be responsible for enforcement of all policies applicable to it and the data that flows through it. We describe the high-level architecture of the system currently under development, and the design trade-offs that were made to balance ease of deployability and flexibility in policy enforcement. We also present our initial implementation with performance evaluation results that showcase its applicability to the scenario considered.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121981713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An application of DSmT in ontology-based fusion systems","authors":"K. Krenc, A. Kawalec","doi":"10.5281/ZENODO.22434","DOIUrl":"https://doi.org/10.5281/ZENODO.22434","url":null,"abstract":"The aim of this paper is to propose an ontology framework for preselected sensors due to the sensor networks' needs, regarding a specific task, such as the target's threat recognition. The problem will be solved methodologically, taking into account particularly non-deterministic nature of functions assigning the concept and the relation sets into the concept and relation lexicon sets respectively and vice-versa. This may effectively enhance the efficiency of the information fusion performed in sensor networks.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130352789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"GMTI and IMINT data fusion for multiple target tracking and classification","authors":"B. Pannetier, J. Dezert","doi":"10.5281/ZENODO.22467","DOIUrl":"https://doi.org/10.5281/ZENODO.22467","url":null,"abstract":"In this paper, we propose a new approach to track multiple ground target with GMTI (Ground Moving Target Indicator) and IMINT (IMagery INtelligence) reports. This tracking algorithm takes into account road network information and is adapted to the out of sequence measurement problem. The scope of the paper is to fuse the attribute type information given by heterogeneous sensors with DSmT (Dezert Smarandache Theory) and to introduce the type results in the tracking process. We show the ground target tracking improvement obtained due to better targets discrimination and an efficient conflicting information management on a realistic scenario.","PeriodicalId":143243,"journal":{"name":"2009 12th International Conference on Information Fusion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130294365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}