Sensor management in ISR
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 differenc...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Norwood, MA
Artech House
[2020]
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| Series | Artech House intelligence and information operations series.
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| Subjects | |
| Online Access | Full text |
| ISBN | 9781630816865 1630816868 9781630816858 163081685X |
| Physical Description | 1 online resource (xiv, 219 pages) |
Cover
| LEADER | 00000cam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | kn-on1151198081 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
| 006 | m o d | ||
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| 008 | 200418s2020 mau ob 000 0 eng d | ||
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| 020 | |a 9781630816865 |q (electronic book) | ||
| 020 | |a 1630816868 |q (electronic book) | ||
| 020 | |z 9781630816858 |q (print) | ||
| 020 | |z 163081685X |q (print) | ||
| 035 | |a (OCoLC)1151198081 |z (OCoLC)1151486840 |z (OCoLC)1313550762 |z (OCoLC)1388676182 | ||
| 100 | 1 | |a Hintz, Kenneth J. |e author | |
| 245 | 1 | 0 | |a Sensor management in ISR |c Kenneth J. Hintz |
| 264 | 1 | |a Norwood, MA |b Artech House |c [2020] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (xiv, 219 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Artech House intelligence and information operations series | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 8 | |a Sensor Management in ISR -- Contents -- Preface -- 1 Introduction to Sensor Management -- 1.1 Motivation for Sensor Management in Intelligence, Surveillence, and Reconaissance -- 1.2 Sensor Management Versus Data Fusion -- 1.3 Sensor Management Is Motivated by the Need to Inform Situation Assessment -- 1.4 Sensor Management -- 1.5 Sensor Scheduling, Sensor Management, and Mission Management -- 1.6 Optimum Planning Versus Optimum Scheduling -- 1.7 Sensor Suite Viewed as a Constrained Communications Channel -- 1.8 Preliminaries -- 1.9 Road Map for the Sequel -- References | |
| 505 | 8 | |a 2 Historical Basis for Sensor Management -- 2.1 From Task-Specific Sensor to Heterogeneous Network -- 2.2 Integration of Frequency Diverse Radars -- 2.3 Integration of Modality Diverse Sensors During the Vietnam Era -- 2.4 Networks of Homogeneous Sensors -- 2.5 Network of Heterogeneous Sensors -- 2.6 Network-Centric Warfare: The Start of Modern Sensor Management -- References -- 3 Sensor Management Inherent Problems -- 3.1 Indirect Sensor Management Issues -- 3.2 Multidisciplinary Problem -- 3.3 Passive Sensor Issues -- 3.4 Active Sensor Issues | |
| 505 | 8 | |a 3.5 Virtual Sensor, Heterogeneous Sensor, and Pseudo-Sensor Issues -- 3.6 World Models -- 3.6.1 Physical Models -- 3.6.2 Context -- 3.6.3 Probabilistic Models -- 3.6.4 Social Network Models -- 3.7 Operational Issues -- 3.7.1 Myopic Scheduling -- 3.7.2 Sensor Management Objective Functions -- References -- 4 Sensor Management Related Problems -- 4.1 Introduction -- 4.2 Fusion-Related Issues -- 4.2.1 Common Frame of Reference and Merging of Data from Different Platforms -- 4.2.2 Data Association Coordinate System Errors -- 4.2.3 Data Pedigree -- 4.2.4 Data Veracity | |
| 505 | 8 | |a 4.2.5 Hard and Soft Data Fusion -- 4.3 Alternative Configurations for Search, Track, and Identification -- 4.4 Detection Criteria -- 4.5 Target Models -- 4.6 Scheduling Constraints -- 4.6.1 Deleterious Interaction of Sensors -- 4.6.2 Computational Constraints -- 4.6.3 Randomly Occurring Sensor Failures -- References -- 5 Theoretical Approaches to Sensor Management -- 5.1 Overview of Sensor Management Theories -- 5.2 Scheduling Approaches Versus Decision-Making Approaches -- 5.3 Decision Theoretic Approaches -- 5.4 Normative Decision Theoretic Approaches | |
| 505 | 8 | |a 5.5 Descriptive Decision Theoretic Approaches -- 5.6 Sensor Management Architecture-Based Approaches -- 5.6.1 Decentralized Management -- 5.6.2 Game Theory-Based Approaches -- 5.6.3 Market Theory-Based Approaches -- 5.6.4 Hybrid Approaches -- References -- 6 Artificial Intelligence for Sensor Management -- 6.1 Introduction -- 6.2 Resurgence of AI -- 6.3 Specific Mapping of AI Capabilities to IBSM Functions -- 6.4 Supervised Machine Learning -- 6.5 Unsupervised Machine Learning -- 6.6 Data Fusion -- 6.6.1 Implementing Data Fusion Within IBSM -- 6.7 Ontologies for Storage and Reasoning | |
| 505 | 8 | |a 6.8 Characterizing Uncertainty | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a 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. | ||
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Intelligent sensors. | |
| 650 | 0 | |a Intelligence service. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Hintz, Kenneth J. |t Sensor Management in ISR. |d Norwood : Artech House, ©2020 |z 9781630816858 |
| 830 | 0 | |a Artech House intelligence and information operations series. | |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpSMISR001/sensor-management-in?kpromoter=marc |y Full text |