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Artech House UK
Sensor Management in Intelligence, Reconnaissance, and Surveillance

Sensor Management in Intelligence, Reconnaissance, and Surveillance

By (author): Kenneth J. Hintz
Copyright: 2020
Pages: 250
ISBN: 9781630816865

eBook £110.00

This innovative resource is the first book that partitions the intelligence, surveillance and reconnaissance (ISR) sensor management process into partitioned functions that can be studied and optimized independently of each other through defined conceptual interfaces. The book explains the difference between situation information and sensor information and how to compute both. The information-based sensor management (IBSM) approach to real-time orchestrated resource management (ORM) of intelligence, surveillance, and reconnaissance (ISR) assets in the physical, cyber, and social domains are detailed.


The integrating concept of mission value through use of goal lattice (GL) methodology is explored. Approaches to implementing real-time sensor management (SM) systems by applying advanced information-based approaches that consider contextual situation and optimization of diverse sensor capabilities for information-based objectives are also covered. These methods have applications in physical intelligence, surveillance, and reconnaissance (ISR), as well as in cyber, and social domains.


Based on 30 years of research in developing a mission-valued approach to maximizing the transfer of information from real, cyber, and social environments into a mission-valued, probabilistic representation of that environment on which decision makers can formulate actions, this is the only book that addresses real-time management of ISR from a first principles approach (information theory), and how information theory can be applied to the design and development of ISR systems.

Sensor management; Historical basis for sensor management; Sensor Management Macro Problems; Sensor management micro problems; Sensor management approaches (academic theories); Global Hawk: a case study (practical implementation of one current system); Human interaction with a sensor management system (human interaction w/ sensor system); Information theoretic approach to sensor management (IBSM); IBSM Optimization criterion: expected information value rate (EIVR); IBSM implementation approaches; Human-Machine Teaming for SM; SM Performance Monitoring; Future Technologies and Implications; Summary.
  • Kenneth J. Hintz

    was an associate professor electrical engineering at George Mason University for over thirty years. He received his Ph.D. in electrical engineering from the University of Virginia. He holds over twenty patents and is a lifetime senior member of IEEE.

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