Distributed Data Fusion for Network-Centric Operations

9	Nonmyopic Sensor Management James Llinas and Chee-Yee Chong

CONTENTS

9.1    Introduction

9.2    Overview of Object Classification Approaches

9.3    Architectural Options for Object Classification

9.4    Issues in Distributed Object Classification

9.4.1    Explicit Double-Counting

9.4.2    Implicit Double-Counting (Statistically Dependent)

9.4.3    Legacy Systems with Hard Declarations

9.4.4    Mixed Uncertainty Representations

9.5    Classifier Fusion

9.5.1    Taxonomy of Classifier Fusion Methods

9.5.2    Combining Classifiers

9.6    Optimal Distributed Bayesian Object Classification

9.6.1    Centralized Object Classification Algorithm

9.6.2    Distributed Object Classification

9.6.2.1    Bayesian Distributed Fusion Algorithm

9.6.2.2    Optimal ...