handbook of multisensor data fusion phần 3 ppt

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Ngày tải lên: 14/08/2014, 05:20

... Spatial Data 4 .3 Defining Image and Spatial Data Fusion 4.4 Three Classic Levels of Combination for Multisensor Automatic Target Recognition Data Fusion Pixel-Level Fusion • Feature-Level Fusion ... Decision-Level Fusion • Multiple-Level Fusion 4.5 Image Data Fusion for Enhancement of Imagery Data Multiresolution Imagery • Dynamic Imagery • Three- Dimens...

Ngày tải lên: 14/08/2014, 05:20

... enemy Tables of Equipment, FIGURE 6.7 Biologically motivated metaphor for the data fusion process. Sensor input Short-term declarative Fusion Process, F Long-term procedural Database Long-term ... Jeffrey K. Uhlmann Introduction • Decentralized Data Fusion • Covariance Intersection • Using Covariance Intersection for Distributed Data Fusion • Extended Example • Incorp...

Ngày tải lên: 14/08/2014, 05:20

... CRC Press LLC 13 Data Fusion in Nonlinear Systems 13. 1 Introduction 13. 2 Estimation in Nonlinear Systems Problem Statement • The Transformation of Uncertainty 13. 3 The Unscented ... covariances of all of the states in all of the nodes are smaller than those for case 1. In other words, this example shows that this data distribution scheme successfully and usef...

Ngày tải lên: 14/08/2014, 05:20

... Architecture 16 .3 Data Fusion Systems Engineering Process Data Fusion Engineering Methodology • The Process of Systems Engineering 16.4 Fusion System Role Optimization Fusion System Requirements ... Performance of Multisensor Fusion Processes James Llinas Introduction • Test and Evaluation of the Data Fusion Process • Tools for Evaluation: Testbeds, Simul...

Ngày tải lên: 14/08/2014, 05:20

... approach for fusion of data progresses from the sensor data (shown on the left side of Figure 19.1) toward the human user (on the right side of Figure 19.1). Conceptually, sensor data are preprocessed ... Performance • Data Representation Accuracy • Database Performance Efficiency • Spatial Data Representation Characteristics • Database Design Tradeoffs 18.5 Object Repre...

Ngày tải lên: 14/08/2014, 05:20

... maximum confidence criteria of Equation 23. 4. ( 23. 4) This implementation of weighted decision fusion permits future extension in two ways. First, it provides a path to the use of confidence as an input ... early identification of the precursors to failure of safety-critical system components from maintenance data and sensors distributed throughout the system. Use of the mounta...

Ngày tải lên: 14/08/2014, 05:20

... to the JDL Data Fusion Model 2.1 Introduction 2.2 What Is Data Fusion? What Isn’t? The Role of Data Fusion • Definition of Data Fusion 2 .3 Models and Architectures Data Fusion “Levels” ... and relation to other models. 3 2.2 What Is Data Fusion? What Isn’t? 2.2.1 The Role of Data Fusion Often, the role of data fusion has been unduly restr...

Ngày tải lên: 14/08/2014, 04:22

... Approaches General MHT Is a Special Case of Unified Tracking • Relationship of Unified Tracking to Other Multiple-Target Tracking Algorithms • Critique of Unified Tracking 10.6 Likelihood Ratio ... approach. The goal of this chapter is to provide the reader with some insights and perhaps a new view of multiple-target tracking. It is not designed to provide the reader with a set...

Ngày tải lên: 14/08/2014, 05:20

... ©2001 CRC Press LLC 11 Data Association Using Multiple Frame Assignments 11.1 Introduction 11.2 Problem Background 11 .3 Assignment Formulation of Some General Data Association Problems ... use of multiple sensors, through more varied information, has the potential to greatly improve state estimation and track identification. Fusion of information from multiple senso...

Ngày tải lên: 14/08/2014, 05:20