A multisensor feature-based fusion approach to target recognition using a framework of model-theory is proposed. The Best Discrimination Basis Algorithm (BDBA) based on the best basis selection technique and the Sensory Data Fusion System (SDFS) based on logical models and theories are applied for feature extraction. The BDBA selects the most discriminant basis. The SDFS rst selects features, w...

Title of dissertation: HARMONIC ANALYSIS INSPIRED DATA FUSION FOR APPLICATIONS IN REMOTE SENSING Timothy J. Doster, Doctor of Philosophy, 2014 Dissertation directed by: Professor John J. Benedetto Department of Mathematics Professor Wojciech Czaja Department of Mathematics This thesis will address the fusion of multiple data sources arising in remote sensing, such as hyperspectral and LIDAR. Fu...

Modern multitarget-multisensor tracking systems involve the development of reliable methods for the data association and the fusion of multiple sensor information, and more specifically the partioning of observations into tracks. This paper discusses and compares the application of Dempster-Shafer Theory (DST) and the Dezert-Smarandache Theory (DSmT) methods to the fusion of multiple sensor att...

This paper presents an attribute fusion method applied to 3D seismic block analysis. Attributes are extracted from the underground data and are aggregated by means of the fuzzy set theory which allows to code the linguistic attribute relation given by geophysicists under the form of IF-THEN rules. A cooperative system has been designed in order to involve the user in the fusion process. The mai...

This paper presents an application of the theory of belief functions for classified images registration and fusion. We extend here some results developed on a previous paper to multiview images. For seabed characterization, we need to fuse the multi-view of sonar images to increase performances and build a complete mosaic. However, before fusion, we have to proceed to a classification of the da...

There are a number of approaches for eliminating intermediate data structures in functional programs—this elimination is commonly known as fusion. Existing fusion strategies are built upon various, but related, recursion schemes, such as folds and unfolds. We use the concept of recursive coalgebras as a unifying theoretical and notational framework to explore the foundations of these fusion tec...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers need...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers nee...