LEADER 01036nam0-22002891i-450 001 990001780800403321 005 20190529131415.0 035 $a000178080 035 $aFED01000178080 035 $a(Aleph)000178080FED01 035 $a000178080 100 $a20021010d1878----km-y0itay50------ba 101 0 $aita 200 1 $aRisposte ai quesiti diretti dal Ministero di agricoltura industria e commercio ai Comizii agrari del regnointorno ai miglioramenti agrarii verificatisi nel 1877$fCamillo Macchia. 210 $aChieti$cTip. G. Ricci$d1878. 215 $a64 p.$d22 cm 610 0 $aRiforma agraria 676 $a333.13 700 1$aMacchia,$bCamillo$0356583 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aLG 912 $a990001780800403321 952 $a60 OP. 129/22$b25402$fFAGBC 959 $aFAGBC 996 $aRisposte ai quesiti diretti dal Ministero di agricoltura industria e commercio ai Comizii agrari del regnointorno ai miglioramenti agrarii verificatisi nel 1877$9409316 997 $aUNINA DB $aING01 LEADER 04811nam 2201009z- 450 001 9910367744703321 005 20210211 010 $a3-03921-829-8 035 $a(CKB)4100000010106270 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/51783 035 $a(oapen)doab51783 035 $a(oapen)51783 035 $a(EXLCZ)994100000010106270 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLiquid Crystal on Silicon Devices: Modeling and Advanced Spatial Light Modulation Applications 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 online resource (172 p.) 311 08$a3-03921-828-X 330 $aLiquid Crystal on Silicon (LCoS) has become one of the most widespread technologies for spatial light modulation in optics and photonics applications. These reflective microdisplays are composed of a high-performance silicon complementary metal oxide semiconductor (CMOS) backplane, which controls the light-modulating properties of the liquid crystal layer. State-of-the-art LCoS microdisplays may exhibit a very small pixel pitch (below 4 ?m), a very large number of pixels (resolutions larger than 4K), and high fill factors (larger than 90%). They modulate illumination sources covering the UV, visible, and far IR. LCoS are used not only as displays but also as polarization, amplitude, and phase-only spatial light modulators, where they achieve full phase modulation. Due to their excellent modulating properties and high degree of flexibility, they are found in all sorts of spatial light modulation applications, such as in LCOS-based display systems for augmented and virtual reality, true holographic displays, digital holography, diffractive optical elements, superresolution optical systems, beam-steering devices, holographic optical traps, and quantum optical computing. In order to fulfil the requirements in this extensive range of applications, specific models and characterization techniques are proposed. These devices may exhibit a number of degradation effects such as interpixel cross-talk and fringing field, and time flicker, which may also depend on the analog or digital backplane of the corresponding LCoS device. The use of appropriate characterization and compensation techniques is then necessary. 517 $aLiquid Crystal on Silicon Devices 606 $aHistory of engineering and technology$2bicssc 610 $aaberration compensation 610 $aachromatic lens 610 $aaugmented reality displays 610 $acalibration 610 $achromatic aberration 610 $acomputer generated hologram 610 $adiffraction 610 $adiffractive optical element 610 $adiffractive optics 610 $adigital holography 610 $aferroelectric 610 $afringing field effect 610 $aharmonic lens 610 $ahead-mounted displays 610 $ahead-up display 610 $ahead-up displays 610 $ahelix-free 610 $aholographic and volume memories 610 $aholographic data storage 610 $aholographic display 610 $aholography 610 $aimaging systems 610 $ainterference 610 $akinoform 610 $alight scattering 610 $aliquid crystal 610 $aliquid crystal on silicon device 610 $aLiquid Crystal on Silicon display 610 $aliquid crystal spatial light modulator 610 $aliquid crystals 610 $aliquid-crystal on silicon 610 $aliquid-crystal-on-silicon 610 $amode division multiplexing 610 $amultimode fiber 610 $amultiorder diffractive lens 610 $an/a 610 $aoptical manipulation 610 $aparallel-aligned 610 $aphase accuracy 610 $aphase change 610 $aphase characterization 610 $aphase measurement 610 $aphase modulation 610 $aphase precision and stability 610 $aphotopolymer 610 $asoliton 610 $aspatial light modulator 610 $aspatial light modulators 610 $aspatial resolution 610 $aspatially anamorphic phenomenon 610 $aspeckle suppression 610 $atransmission matrix 610 $atransparent mode 610 $azoom lens 615 7$aHistory of engineering and technology 700 $aLizana$b Ángel$4auth$00 702 $aMárquez$b Andrés$4auth 906 $aBOOK 912 $a9910367744703321 996 $aLiquid Crystal on Silicon Devices: Modeling and Advanced Spatial Light Modulation Applications$93031952 997 $aUNINA LEADER 06297nam 2200793 a 450 001 9910141611003321 005 20251214163730.0 010 $a9781118269787 010 $a1118269780 010 $a9781118269770 010 $a1118269772 010 $a9781299241862 010 $a1299241867 010 $a9781118269756 010 $a1118269756 035 $a(CKB)2670000000336195 035 $a(EBL)832589 035 $a(SSID)ssj0000831930 035 $a(PQKBManifestationID)11530822 035 $a(PQKBTitleCode)TC0000831930 035 $a(PQKBWorkID)10880804 035 $a(PQKB)10443775 035 $a(Au-PeEL)EBL832589 035 $a(CaPaEBR)ebr10662606 035 $a(CaONFJC)MIL455436 035 $a(CaSebORM)9781118269770 035 $a(MiAaPQ)EBC832589 035 $a(OCoLC)833047806 035 $a(Perlego)1013863 035 $a(UkBuK)968822 035 $a(EXLCZ)992670000000336195 100 $a20111019d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHyperspectral data processing $ealgorithm design and analysis /$fChein-I Chang 205 $a1st ed. 210 1$cWiley$d2013 215 $a1 online resource (1165 p.) 300 $aDescription based upon print version of record. 311 08$a9780471690566 311 08$a0471690562 320 $aIncludes bibliographical references and index. 327 $aHYPERSPECTRAL DATA PROCESSING: Algorithm Design and Analysis; CONTENTS; PREFACE; 1 OVERVIEW AND INTRODUCTION; 1.1 Overview; 1.2 Issues of Multispectral and Hyperspectral Imageries; 1.3 Divergence of Hyperspectral Imagery from Multispectral Imagery; 1.3.1 Misconception: Hyperspectral Imaging is a Natural Extension of Multispectral Imaging; 1.3.2 Pigeon-Hole Principle: Natural Interpretation of Hyperspectral Imaging; 1.4 Scope of This Book; 1.5 Book's Organization; 1.5.1 Part I: Preliminaries; 1.5.2 Part II: Endmember Extraction; 1.5.3 Part III: Supervised Linear Hyperspectral Mixture Analysis 327 $a1.5.4 Part IV: Unsupervised Hyperspectral Analysis 1.5.5 Part V: Hyperspectral Information Compression; 1.5.6 Part VI: Hyperspectral Signal Coding; 1.5.7 Part VII: Hyperspectral Signal Feature Characterization; 1.5.8 Applications; 1.5.8.1 Chapter 30: Applications of Target Detection; 1.5.8.2 Chapter 31: Nonlinear Dimensionality Expansion to Multispectral Imagery; 1.5.8.3 Chapter 32: Multispectral Magnetic Resonance Imaging; 1.6 Laboratory Data to be Used in This Book; 1.6.1 Laboratory Data; 1.6.2 Cuprite Data; 1.6.3 NIST/EPA Gas-Phase Infrared Database 327 $a1.7 Real Hyperspectral Images to be Used in this Book 1.7.1 AVIRIS Data; 1.7.1.1 Cuprite Data; 1.7.1.2 Purdue's Indiana Indian Pine Test Site; 1.7.2 HYDICE Data; 1.8 Notations and Terminologies to be Used in this Book; I: PRELIMINARIES; 2 FUNDAMENTALS OF SUBSAMPLE AND MIXED SAMPLE ANALYSES; 2.1 Introduction; 2.2 Subsample Analysis; 2.2.1 Pure-Sample Target Detection; 2.2.2 Subsample Target Detection; 2.2.2.1 Adaptive Matched Detector (AMD); 2.2.2.2 Adaptive Subspace Detector (ASD); 2.2.3 Subsample Target Detection: Constrained Energy Minimization (CEM); 2.3 Mixed Sample Analysis 327 $a2.3.1 Classification with Hard Decisions 2.3.1.1 Fisher's Linear Discriminant Analysis (FLDA); 2.3.1.2 Support Vector Machines (SVM); 2.3.2 Classification with Soft Decisions; 2.3.2.1 Orthogonal Subspace Projection (OSP); 2.3.2.2 Target-Constrained Interference-Minimized Filter (TCIMF); 2.4 Kernel-Based Classification; 2.4.1 Kernel Trick Used in Kernel-Based Methods; 2.4.2 Kernel-Based Fisher's Linear Discriminant Analysis (KFLDA); 2.4.3 Kernel Support Vector Machine (K-SVM); 2.5 Conclusions; 3 THREE-DIMENSIONAL RECEIVER OPERATING CHARACTERISTICS (3D ROC) ANALYSIS; 3.1 Introduction 327 $a3.2 Neyman-Pearson Detection Problem Formulation 3.3 ROC Analysis; 3.4 3D ROC Analysis; 3.5 Real Data-Based ROC Analysis; 3.5.1 How to Generate ROC Curves from Real Data; 3.5.2 How to Generate Gaussian-Fitted ROC Curves; 3.5.3 How to Generate 3D ROC Curves; 3.5.4 How to Generate 3D ROC Curves for Multiple Signal Detection and Classification; 3.6 Examples; 3.6.1 Hyperspectral Imaging; 3.6.1.1 Hyperspectral Target Detection; 3.6.1.2 Linear Hyperspectral Mixture Analysis; 3.6.2 Magnetic Resonance (MR) Breast Imaging; 3.6.2.1 Breast Tumor Detection; 3.6.2.2 Brain Tissue Classification 327 $a3.6.3 Chemical/Biological Agent Detection 330 $a"This book is intended to be a sequel from the author's other title with Kluwer "Hyperspectral Imaging: Techniques for Spectral Detection and Classification". It contains five major parts. Part I is new aspects of OSP including 7 chapters, OSP revisit, generalized OSP, FPGA designs for OSP and CEM, Kalman filter-based linear unmixing, least squares fully constrained linear mixture analysis, exploitation-based hyperspectral data compression and size estimation of supixel targets, Part II is interference rejection for linear unmixing composed of three chapters, signal-composed interference-annihilated theory, interference-annihilated noise-adjusted theory and information-processed matched filter theory; Part III is nonlinear non-literal techniques for linear unmixing consisting of 3 chapters, convex cone analysis, information theoretic criterion-based project pursuit and nonlinear mixing model analysis; Part IV is spectral coding comprising of three chapters, progressive spectral coding, spectral binary coding and spectral coding for band selection; Part V is applications made up of two chapters, applications to magnetic resonance imaging and landmine detection"--$cProvided by publisher. 606 $aImage processing$xDigital techniques 606 $aSpectroscopic imaging 606 $aSignal processing 615 0$aImage processing$xDigital techniques. 615 0$aSpectroscopic imaging. 615 0$aSignal processing. 676 $a621.39/94 686 $aTEC015000$2bisacsh 700 $aChang$b Chein-I$0763028 701 $aChang$b Chein-I$0763028 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141611003321 996 $aHyperspectral data processing$92238654 997 $aUNINA