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Accetta J.S. (ed.), Shumaker D.L. (ed.), Robinson S.R. (ed.) — The Infrared & Electro-Optical Systems Handbook. Volume 8: Emerging Systems and Technologies
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Íàçâàíèå: The Infrared & Electro-Optical Systems Handbook. Volume 8: Emerging Systems and TechnologiesÀâòîðû: Accetta J.S. (ed.), Shumaker D.L. (ed.), Robinson S.R. (ed.)Àííîòàöèÿ: The Infrared and Electro-Optical Systems Handbook is a joint product of the Infrared Information Analysis Center (IRIA) and the International Society for Optical Engineering (SPIE). Sponsored by the Defense Technical Information Center (DTIC), this work is an outgrowth of its predecessor, The Infrared Handbook, published in 1978. The circulation of nearly 20,000 copies is adequate testimony to its wide acceptance in the electro-optics and infrared communities. The Infrared Handbook was itself preceded by The Handbook of Military Infrared Technology. Since its original inception, new topics and technologies have emerged for which little or no reference material exists. This work is intended to update and complement the current Infrared Handbook by revision, addition of new materials, and reformatting to increase its utility. Of necessity, some material from the current book was reproduced as is, having been adjudged as being current and adequate. The 45 chapters represent most subject areas of current activity in the military, aerospace, and civilian communities and contain material that has rarely appeared so extensively in the open literature.
ßçûê: Ðóáðèêà: Òåõíîëîãèÿ /Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö ed2k: ed2k stats Ãîä èçäàíèÿ: 1993Êîëè÷åñòâî ñòðàíèö: 646Äîáàâëåíà â êàòàëîã: 28.11.2010Îïåðàöèè: Ïîëîæèòü íà ïîëêó |
Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
Ïðåäìåòíûé óêàçàòåëü
Probability of false alarms 247 350—352 395 Propagation 9 58 131—134 179—183 444—445 459—460 Propagation, angle of arrival 180 Propagation, beam spread 180 Propagation, coherence length 180—183 Propagation, intensity variations 179 Propagation, phase variations 179 Proportionality constant ( 140 142 Pruning 266 284 Pupil, area 11 Pupil, complex amplitude 17 Pupil, function 8 9 96 Pupil, unapodized 12 Pyramid processors 389 Q-factor 494—495 Quadratic (Mahalanobis) weighted distance 283 Quadrature 76 88 Quantum efficiency, detector 28 72—73 Radar 254—255 Radio telescopes 79 Range accuracy 310 461 Range estimation 270 Range-angle, coordinates 79 Range-angle, image 90 Range-Doppler imaging 110—130 Range-Doppler imaging, ambiguity function 116—123 Range-Doppler imaging, basic operation 110—112 Range-Doppler imaging, Fourier transform imaging 125—129 Range-Doppler imaging, Fourier transform imaging, matched filter processing 125—128 Range-Doppler imaging, Fourier transform imaging, stretch processing 129 Range-Doppler imaging, geometry 112 Range-Doppler imaging, limitations 123—125 Range-Doppler imaging, operational systems 130 Range-Doppler imaging, received signal description 112—116 Range-rate measurements 110 see Ranging, coherent 110 RANICON detector 50 Rate equation, saturation intensity 146 Rate equation, saturation time 146 Rayleigh criterion 3 50 Rayleigh range 192 Rayleigh scattering 135—137 139 144—145 Readout time 105 Receivers 103—106 110 112—113 Receivers, apertures 79 80 105 Reconfigurable networks 391 Redundancy 56 Reference beam 485 487 488 490 493 Reference object 34 Reference star 21 22 41 47 51 Resolution see also "Ambiguity function" "Resolution Resolution cells on target 398—400 Resolution ellipse 117—121 Resolution, ambiguity 311 Resolution, cross-coupling 118 Resolution, cross-range 119 124 Resolution, delay 118 121 Resolution, Doppler 117 121 124 Resolution, FLIR/helmet-mounted displays 520—521 Resolution, FWHM 118 Resolution, FWHM delay 121 Resolution, holographic media 496 Resolution, image 85 98 104 116—117 128—129 132 Resolution, limit 92 Resolution, range 119 123 124 Resolution, resolvable frequency 520—521 Resonant fluorescence scattering 135 136 139 145—147 Resonators 412—413 Resonators, boresight/drift 420 Resonators, diffraction 422 Resonators, jitter 421 Resonators, wavefront error 203—204 415—419 472—473 Resonators, wavefront error, coating nonuniformity 418 Resonators, wavefront error, critical angle 416—417 Resonators, wavefront error, misalignment 416—417 Resonators, wavefront error, misalignment angle 416 Resonators, wavefront error, optics misfigure 417—418 Resonators, wavelength 423 Rytov transformation 131—132 Satellites 91 112 Scanning rate 51 Scatter, near-field 148 Scattering 356 Scattering function 126 Scattering losses, optics 425—426 436 454—455 Scattering losses, optics, near-angle 426 Scene segmentation 282 Schlieren image 170 Schwartz inequality 16 Scintillation 9 11 56 63—64 179 190 194—195 seeing 17 Seeing, angles 19 Seeing, conditions 56 Seeing, disk 10 62 64 Seeing, limit 50 Seeing, parameter 28 Seeing, transfer function 46 Sensor and data fusion 239—341 Sensor and data fusion, architectures 253—272 Sensor and data fusion, architectures, adaptivity 270—272 Sensor and data fusion, architectures, architecture paradigms 257—259 Sensor and data fusion, architectures, decision-level data fusion 260—263 Sensor and data fusion, architectures, feature-level data fusion 260—263 Sensor and data fusion, architectures, fusion tree structures 264—266 Sensor and data fusion, architectures, hard- vs soft-decision fusion 264 Sensor and data fusion, architectures, parallel processing 269 Sensor and data fusion, architectures, pixel-level data fusion 259—261 Sensor and data fusion, architectures, sensor suite selection 253—256 Sensor and data fusion, data alignment 273—277 Sensor and data fusion, data alignment, coordinate conversion 274—275 Sensor and data fusion, data alignment, misalignment compensation 275—277 Sensor and data fusion, data alignment, time propagation 273—274 Sensor and data fusion, data association and tracking 277—292 Sensor and data fusion, data association and tracking, hypothesis evaluation 282—288 Sensor and data fusion, data association and tracking, hypothesis generation 279—282 Sensor and data fusion, data association and tracking, hypothesis selection 288—289 Sensor and data fusion, data association and tracking, N-scan association 287 Sensor and data fusion, data association and tracking, nearest neighbor association 283—284 Sensor and data fusion, data association and tracking, optimal Bayesian association 287 Sensor and data fusion, data association and tracking, probabilistic data association 284—286 Sensor and data fusion, data association and tracking, report clustering 281 Sensor and data fusion, data association and tracking, scene segmentation 282 Sensor and data fusion, data association and tracking, state estimation 289—292 Sensor and data fusion, data association and tracking, track-splitting 284 Sensor and data fusion, data association and tracking, validation gating 279—281 Sensor and data fusion, data collection management 313—326 Sensor and data fusion, data collection management, detection-level cueing 318—319 Sensor and data fusion, data collection management, sensor interoperability 324—326 Sensor and data fusion, data collection management, sensor/response integration 319—324 Sensor and data fusion, data collection management, sensor/response management model 314—316 Sensor and data fusion, data collection management, track-level cueing 316—318 Sensor and data fusion, data fusion definition 245—246 Sensor and data fusion, measures of effectiveness 326—328 Sensor and data fusion, measures of effectiveness, entropic confidence 327 Sensor and data fusion, measures of effectiveness, global information measure 328 Sensor and data fusion, measures of effectiveness, local information measure 327—328 Sensor and data fusion, models 246—253 Sensor and data fusion, models, Data Fusion Subpanel model 250—253 Sensor and data fusion, models, multisource and multisensor data fusion 249—250 Sensor and data fusion, models, single- and multisource data acquisition 248—249 Sensor and data fusion, models, single-source data processing 246—248 Sensor and data fusion, multiplatform fusion 304—313 Sensor and data fusion, multiplatform fusion, architectures 306—309 Sensor and data fusion, multiplatform fusion, measurements 309 Sensor and data fusion, multiplatform fusion, passive ranging 309—313 Sensor and data fusion, multisensor identification 292—304 Sensor and data fusion, multisensor identification, cognitive-based models 301—304 Sensor and data fusion, multisensor identification, parametric classification 294—300 Sensor and data fusion, multisensor identification, physical models 300—301 Sensor and data fusion, multisensor integration 243—245 Sensor and data fusion, symbols and nomenclature 242 Sensor and data fusion, terminology 241—243 Sensor and data fusion, testbeds 328—330 Sensor fusion 24 see Sensor suite selection 253—256 Sensor/response integration 319—324 Servo lag 226—228 Shearing interferometry 6 57—59 64—79 Shift and add 42—43 Side-looking imaging 83—84 Signal-to-noise ratio (SNR) 5 13 15 22—30 47 52 57—58 61 63—64 68—69 72 76 101 106—107 Signal-to-noise ratio (SNR), ATR sensor 357 Signal-to-noise ratio (SNR), matched filters 505 Signal-to-noise ratio (SNR), wavefront sensing 210 Singular value decomposition 221 222 Slit scan method 52 Slit transfer function 51 Sodium 135 145—147 Soft-decision data fusion algorithms 264 269 Solar system 53 Space Defense Initiative (SDI) 94 Space encoding 75 Space-bandwidth product 104 Space-time, cross-correlation 17 Space-time, intensity correlation function 16 Space-time, speckle interferometry 29—30 Spatial coherence function 30 Spatial filtering 503—506 Spatial frequency, coordinate 96 Spatial frequency, hologram 485—486 Spatial light modulators 391 Speckle imaging, autocorrelation 99 102 Speckle imaging, camera systems 48—49 Speckle imaging, contrast 18 Speckle imaging, double 5 Speckle imaging, holography 21 34—36 Speckle imaging, image reconstruction 46 Speckle imaging, imaging in the infrared 54 Speckle imaging, imaging techniques 47 Speckle imaging, interferometry 3—56 57—58 63 76—78 Speckle imaging, laser speckle imaging 92—109 Speckle imaging, masking 36 Speckle imaging, noise 78 Speckle imaging, patterns 94 97 99 105—106 Speckle imaging, transfer function 7 10—18 20—24 30 46 51—53 56 Speckle interferometry 3—58 63 76—78 Speckles 3 4 19 42—43 54 56 96—97 104—107 Spectral bandwidth 80 86 Stars 4 5 43 56 58 70 78 135 171 Stars, binary 5 28 49 54—55 Stars, brown dwarf 55 Stars, clusters 35 Stars, diameter 28 Stars, double 58 Stars, guide 79 Stars, infrared 55—56 Stars, map of 42 Stars, Mira variable stars 55—56 Stars, protostar 55—56 Stars, reference 21 22 41 47 51 Stars, resolved 4 Stars, triple 35 Stellar disks 55 Stellar physics 55 Stellar speckle interferometry 3—56 Stellar speckle interferometry, astronomical results 52—56 Stellar speckle interferometry, astronomical results, binary stars 54—55 Stellar speckle interferometry, astronomical results, infrared stars 55—56 Stellar speckle interferometry, astronomical results, solar system objects 53—54 Stellar speckle interferometry, astronomical results, stellar physics 55 Stellar speckle interferometry, data collection and processing 48—50 Stellar speckle interferometry, one-dimensional IR speckle interferometry 50—52 Stellar speckle interferometry, principles 4—6 Stellar speckle interferometry, reconstruction of object intensity 30—48 Stellar speckle interferometry, reconstruction of object intensity, exponential filters 39—42 Stellar speckle interferometry, reconstruction of object intensity, Knox — Thompson method 44—46 Stellar speckle interferometry, reconstruction of object intensity, modulus-only algorithms 36—39 Stellar speckle interferometry, reconstruction of object intensity, phase averaging 43—44 Stellar speckle interferometry, reconstruction of object intensity, phase problem ambiguity 31—34 Stellar speckle interferometry, reconstruction of object intensity, shift and add 42—43 Stellar speckle interferometry, reconstruction of object intensity, speckle holography 34—36 Stellar speckle interferometry, reconstruction of object intensity, triple correlation 46—47 Stellar speckle interferometry, signal-to-noise ratio 22—30 Stellar speckle interferometry, signal-to-noise ratio, at a point in the energy spectrum 23—26 Stellar speckle interferometry, signal-to-noise ratio, limiting magnitude 28—29 Stellar speckle interferometry, signal-to-noise ratio, optimum exposure time 26—28 Stellar speckle interferometry, signal-to-noise ratio, space-time speckle interferometry 29—30 Stellar speckle interferometry, theory 6—22 Stellar speckle interferometry, theory, aberration effects 14—15 Stellar speckle interferometry, theory, amplitude calibration 21—22 Stellar speckle interferometry, theory, exposure time effects 15—18 Stellar speckle interferometry, theory, finite bandwidth effects 18—19 Stellar speckle interferometry, theory, isoplanicity 19—21 Stellar speckle interferometry, theory, long-exposure transfer function 8—10 Stellar speckle interferometry, theory, speckle transfer function 10—14 Storage on videotape 49 Stratosphere 135 Strehl ratio 132 136—137 139 141 168 173—174 180 186—188 195—197 200—202 206—209 211 215—216 218—219 226—233 411—412 423 433—434 445 451 453—454 Stretch processing 129 Sufficient statistics 350—351 368—369 Sum frequency mixing 147 Supernova 55 Support constraint 99 Surface roughness 202 Surveillance sensors 255 Symbols, nomenclature, and units 93—94 242 Synthetic aperture imaging 110 see Synthetic aperture radar 83 254 Systolic arrays 388 Target aim point 450—452 456 460 463—465 Target characterization 243 348—349 Target classification 247—248 256 260 262 264 295 348—349 352—353 363—364 372 377 Target classification, algorithm taxonomy 293 Target classification, Bayes error 374 Target classification, Bayes estimate 376 Target classification, bootstrap technique 375 Target classification, correlation classifiers 372 Target classification, error rate 373—374 Target classification, Foley's criterion 376 Target classification, statistical classifiers 372—376 Target classification, statistical classifiers, nearest-neighbor estimate 374 376 Target classification, statistical classifiers, parametric estimate 374—375 Target classification, statistical classifiers, Parzen estimate 374—375 Target contrast 396 Target coupling 448—449 Target detection 348 349—352 Target identification 241 248 288 292—304 349—349 519 Target identification, cognitive-based models 301—304 Target identification, cognitive-based models, fuzzy logic 302 Target identification, cognitive-based models, knowledge-based methods 302—304 Target identification, cognitive-based models, templating methods 301—302 Target identification, information theoretic approaches 299—300 Target identification, information theoretic approaches, clustering methods 299 Target identification, information theoretic approaches, entropy methods 299 Target identification, information theoretic approaches, neural networks 299 Target identification, parametric classification 294—300 Target identification, parametric classification, Bayesian inference techniques 296—298 Target identification, parametric classification, classical inference techniques 296 Target identification, parametric classification, conditioned Dempster — Shafer method 298 Target identification, parametric classification, Dempster — Shafer method 297—298 Target identification, parametric classification, evidential reasoning 297 Target identification, parametric classification, feature matching 294 Target identification, parametric classification, Sugeno uncertainty 298 Target identification, physical models 300—301 Target recognition 243 Target recognition range 90 520 522 Target representation 365—367 Target representation, projective geometry models 366—367 Target representation, relational models 366—367 Target representation, sensor physics models 366—367
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