Mathematical techniques in multisensor data fusion:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston[u.a.]
Artech House
2004
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XIII, 449 S. Ill., graph. Darst. |
| ISBN: | 1580533353 |
Internformat
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| 245 | 1 | 0 | |a Mathematical techniques in multisensor data fusion |c David L. Hall ; Sonya A. H. McMullen |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Boston[u.a.] |b Artech House |c 2004 | |
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| 650 | 4 | |a Traitement du signal | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Multisensor data fusion |x Mathematical models | |
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Datensatz im Suchindex
| _version_ | 1804131850008920064 |
|---|---|
| adam_text | Contents
Preface xiii
Chapter 1 Introduction to Multisensor Data Fusion 1
1.1 Introduction 1
1.2 Fusion Applications 3
1.3 Sensors and Sensor Data 8
1.4 The Inference Hierarchy: Output Data 16
1.5 A Data Fusion Model 18
1.6 Benefits of Data Fusion 22
1.7 Architectural Concepts and Issues 27
1.8 Limitations of Data Fusion 32
Chapter 2 Introduction to the Joint Directors of Laboratories (JDL) Data
Fusion Process Model and Taxonomy of Algorithms 37
2.1 Introduction to the JDL Data Fusion Processing Model 37
2.2 Level 1 Fusion Algorithms 42
2.2.1 Data Alignment 44
2.2.2 Data/Object Correlation 44
2.2.3 Object Position, Kinematic, and Attribute
Estimation 45
2.2.4 Object Identity Estimation 47
2.3 Level 2 Fusion Algorithms 54
2.4 Level 3 Fusion Algorithms 57
2.5 Level 4 Fusion Algorithms 59
2.6 Level 5 Fusion Techniques 62
2.7 Ancillary Support Functions 65
2.8 Alternative Data Fusion Process Models 66
2.8.1 Dasarathy s Functional Model 66
2.8.2 Boyd s Decision Loop 67
2.8.3 Bedworth and O Brien s Omnibus Process
Model 68
2.8.4 TRIP Model 69
Chapter 3 Level 1 Processing: Data Association and Correlation 73
3.1 Introduction 73
3.2 Process Model for Correlation 78
3.3 Hypothesis Generation 80
vii
viii Mathematical Techniques in Multisensor Data Fusion
3.3.1 Characterizing the Hypothesis Generation
Problem 85
3.3.2 Overview of Hypothesis Generation Techniques 92
3.4 Hypothesis Evaluation 99
3.4.1 Characterizing the Hypothesis Evaluation
Problem 101
3.4.2 Overview of Hypothesis Evaluation Techniques 105
3.5 Hypothesis Selection Techniques 109
3.5.1 Defining the Hypothesis Selection Space 112
3.5.2 Overview of Hypothesis Selection Techniques 116
Chapter 4 Level 1 Fusion: Kinematic and Attribute Estimation 129
4.1 Introduction 129
4.2 Overview of Estimation Techniques 132
4.2.1 System Models 133
4.2.2 Optimization Criteria 136
4.2.3 Optimization Approach 140
4.2.4 Processing Approach 143
4.3 Batch Estimation 144
4.3.1 Derivation of Weighted Least Squares Solution 144
4.3.2 Processing Flow 149
4.3.3 Batch Processing Implementation Issues 152
4.4 Sequential Estimation 153
4.4.1 Derivation of Sequential Weighted Least
Squares Solution 154
4.4.2 Sequential Estimation Processing Flow 156
4.4.3 Sequential Processing Implementation Issues 159
4.4.4 The Alpha Beta Filter 160
4.5 Co variance Error Estimation 163
4.6 Recent Developments in Estimation 166
Chapter 5 Identity Declaration 171
5.1 Identity Declaration and Pattern Recognition 171
5.2 Feature Extraction 178
5.3 Parametric Templates 185
5.4 Cluster Analysis Techniques 187
5.5 Adaptive Neural Networks 193
5.6 Physical Models 196
5.7 Knowledge Based Methods 198
5.8 Hybrid Techniques 200
Chapter 6 Decision Level Identity Fusion 205
6.1 Introduction 205
6.2 Classical Inference 209
6.3 Bayesian Inference 214
6.4 Dempster Shafer s Method 220
Table of Contents ix
6.5 Generalized Evidence Processing (GEP) Theory 229
6.6 Heuristic Methods for Identity Fusion 231
6.7 Implementation and Trade Offs 234
6.7.1 Inference Accuracy and Performance 235
6.7.2 Computer Resource Requirements 236
6.7.3 A Priori Data Requirements 236
Chapter 7 Knowledge Based Approaches 239
7.1 Brief Introduction to Artificial Intelligence 239
7.2 Overview of Expert Systems 245
7.2.1 Expert System Concept 245
7.2.2 The Inference Process 247
7.2.3 Forward and Backward Chaining 249
7.2.4 Knowledge Representation 250
7.2.5 Representing Uncertainty 253
7.2.6 Search Techniques 260
7.2.7 Architectures for Knowledge Based Systems 263
7.3 Implementation of Expert Systems 266
7.3.1 Life Cycle Development Model for Expert
Systems 266
7.3.2 Knowledge Engineering 269
7.3.3 Test and Evaluation 272
7.3.4 Expert System Development Tools 275
7.4 Logical Templating Techniques 278
7.5 Bayes Belief Systems 283
7.6 Intelligent Agent Systems 285
Chapter 8 Level 4 Processing: Process Monitoring and Optimization 291
8.1 Introduction 291
8.2 Extending the Concept of Level 4 Processing 297
8.3 Techniques for Level 4 Processing 300
8.3.1 Sensor Management Functions 300
8.3.2 General Sensor Controls 302
8.3.3 Optimization of System Resources 305
8.3.4 Measures of Effectiveness and Performance 306
8.4 Auction Based Methods 308
8.4.1 Market Components 309
8.4.2 Multiattribute Auctions 310
8.4.3 Multiattribute Auction Algorithms 311
8.5 Research Issues in Level 4 Processing 311
Chapter 9 Level 5: Cognitive Refinement and Human Computer
Interaction 315
9.1 Introduction 315
9.2 Cognitive Aspects of Situation Assessment 317
9.3 Individual Differences in Information Processing 320
x Mathematical Techniques in Multisensor Data Fusion
9.4 Enabling HCI Technologies 320
9.4.1 Visual and Graphical Interfaces 321
9.4.2 Aural Interfaces and Natural Language
Processing (NLP) 325
9.4.3 Haptic Interfaces 327
9.4.4 Gesture Recognition 328
9.4.5 Wearable Computers 329
9.5 Computer Aided Situation Assessment 330
9.5.1 Computer Aided Cognition 330
9.5.2 Utilization of Language Constructs 331
9.5.3 Areas for Research 334
9.6 An SBIR Multimode Experiment in Computer Based
Training 336
9.6.1 SBIR Objective 336
9.6.2 Experimental Design and Test Approach 337
9.6.3 CBT Implementation 338
9.6.4 Summary of Results 340
9.6.5 Implications for Data Fusion Systems 341
Chapter 10 Implementing Data Fusion Systems 345
10.1 Introduction 345
10.2 Requirements Analysis and Definition 349
10.3 Sensor Selection and Evaluation 351
10.4 Functional Allocation and Decomposition 356
10.5 Architecture Trade Offs 358
10.6 Algorithm Selection 364
10.7 Database Definition 369
10.8 HCI Design 373
10.9 Software Implementation 377
10.10 Test and Evaluation 379
Chapter 11 Emerging Applications of Multisensor Data Fusion 385
11.1 Introduction 385
11.2 Survey of Military Applications 386
11.3 Emerging Nonmilitary Applications 392
11.3.1 Intelligent Monitoring of Complex Systems 393
11.3.2 Medical Applications 396
11.3.3 Law Enforcement 397
11.3.4 Nondestructive Testing (NDT) 398
11.3.5 Robotics 398
11.4 Commercial Off The Shelf (COTS) Tools 399
11.4.1 Survey of COTS Software 399
11.4.2 Special Purpose COTS Software 399
11.4.3 General Purpose Data Fusion Software 402
11.4.4 A Survey of Surveys 406
11.5 Perspectives and Comments 408
Table of Contents xi
Chapter 12 Automated Information Management 415
12.1 Introduction 415
12.2 Initial Automated Information Manager: Automated
Targeting Data Fusion 419
12.3 Automated Targeting Data Fusion: Structure and Flow 424
12.4 Automatic Information Needs Resolution Example:
Automated Imagery Corroboration 433
12.4.1 Automated Image Corroboration Example 436
12.5 Automated Information Manager: Ubiquitous Utility 441
About The Authors 445
Index 447
|
| any_adam_object | 1 |
| author | Hall, David L. 1946- McMullen, Sonya Anne Hall |
| author_GND | (DE-588)1018829601 |
| author_facet | Hall, David L. 1946- McMullen, Sonya Anne Hall |
| author_role | aut aut |
| author_sort | Hall, David L. 1946- |
| author_variant | d l h dl dlh s a h m sah sahm |
| building | Verbundindex |
| bvnumber | BV019270134 |
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| callnumber-search | TK5102.5 |
| callnumber-sort | TK 45102.5 |
| callnumber-subject | TK - Electrical and Nuclear Engineering |
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| ctrlnum | (OCoLC)54783068 (DE-599)BVBBV019270134 |
| dewey-full | 621.3822 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3822 |
| dewey-search | 621.3822 |
| dewey-sort | 3621.3822 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV019270134 |
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| indexdate | 2024-07-09T19:43:28Z |
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| language | English |
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| open_access_boolean | |
| owner | DE-20 DE-91 DE-BY-TUM DE-706 DE-11 DE-1043 DE-522 |
| owner_facet | DE-20 DE-91 DE-BY-TUM DE-706 DE-11 DE-1043 DE-522 |
| physical | XIII, 449 S. Ill., graph. Darst. |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Artech House |
| record_format | marc |
| spelling | Hall, David L. 1946- Verfasser (DE-588)1018829601 aut Mathematical techniques in multisensor data fusion David L. Hall ; Sonya A. H. McMullen 2. ed. Boston[u.a.] Artech House 2004 XIII, 449 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben Fusion multicapteurs - Modèles mathématiques Traitement du signal Mathematisches Modell Multisensor data fusion Mathematical models Signal processing Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Messwertverarbeitung (DE-588)4038804-9 gnd rswk-swf Datenintegration (DE-588)4197730-0 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Sensor (DE-588)4038824-4 gnd rswk-swf Fusion (DE-588)4071520-6 gnd rswk-swf Multisensor (DE-588)4257775-5 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Multisensor (DE-588)4257775-5 s Messwertverarbeitung (DE-588)4038804-9 s Datenintegration (DE-588)4197730-0 s DE-604 Datenverarbeitung (DE-588)4011152-0 s 1\p DE-604 Sensor (DE-588)4038824-4 s 2\p DE-604 Fusion (DE-588)4071520-6 s 3\p DE-604 Mathematisches Modell (DE-588)4114528-8 s 4\p DE-604 Signalverarbeitung (DE-588)4054947-1 s 5\p DE-604 McMullen, Sonya Anne Hall Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012033704&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hall, David L. 1946- McMullen, Sonya Anne Hall Mathematical techniques in multisensor data fusion Fusion multicapteurs - Modèles mathématiques Traitement du signal Mathematisches Modell Multisensor data fusion Mathematical models Signal processing Signalverarbeitung (DE-588)4054947-1 gnd Messwertverarbeitung (DE-588)4038804-9 gnd Datenintegration (DE-588)4197730-0 gnd Datenverarbeitung (DE-588)4011152-0 gnd Sensor (DE-588)4038824-4 gnd Fusion (DE-588)4071520-6 gnd Multisensor (DE-588)4257775-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4054947-1 (DE-588)4038804-9 (DE-588)4197730-0 (DE-588)4011152-0 (DE-588)4038824-4 (DE-588)4071520-6 (DE-588)4257775-5 (DE-588)4114528-8 |
| title | Mathematical techniques in multisensor data fusion |
| title_auth | Mathematical techniques in multisensor data fusion |
| title_exact_search | Mathematical techniques in multisensor data fusion |
| title_full | Mathematical techniques in multisensor data fusion David L. Hall ; Sonya A. H. McMullen |
| title_fullStr | Mathematical techniques in multisensor data fusion David L. Hall ; Sonya A. H. McMullen |
| title_full_unstemmed | Mathematical techniques in multisensor data fusion David L. Hall ; Sonya A. H. McMullen |
| title_short | Mathematical techniques in multisensor data fusion |
| title_sort | mathematical techniques in multisensor data fusion |
| topic | Fusion multicapteurs - Modèles mathématiques Traitement du signal Mathematisches Modell Multisensor data fusion Mathematical models Signal processing Signalverarbeitung (DE-588)4054947-1 gnd Messwertverarbeitung (DE-588)4038804-9 gnd Datenintegration (DE-588)4197730-0 gnd Datenverarbeitung (DE-588)4011152-0 gnd Sensor (DE-588)4038824-4 gnd Fusion (DE-588)4071520-6 gnd Multisensor (DE-588)4257775-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Fusion multicapteurs - Modèles mathématiques Traitement du signal Mathematisches Modell Multisensor data fusion Mathematical models Signal processing Signalverarbeitung Messwertverarbeitung Datenintegration Datenverarbeitung Sensor Fusion Multisensor |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012033704&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT halldavidl mathematicaltechniquesinmultisensordatafusion AT mcmullensonyaannehall mathematicaltechniquesinmultisensordatafusion |