Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Calibration, navigation, and registration of MAMS data for FIFE [[electronic resource] /] / by G.J. Jedlovec and R.J. Atkinson
| Calibration, navigation, and registration of MAMS data for FIFE [[electronic resource] /] / by G.J. Jedlovec and R.J. Atkinson |
| Autore | Jedlovec Gary J |
| Pubbl/distr/stampa | [Marshall Space Flight Center, Ala.] : , : National Aeronautics and Space Administration, George C. Marshall Space Flight Center, , [1993] |
| Descrizione fisica | v, 49 pages : digital, PDF file |
| Altri autori (Persone) | AtkinsonRobert J |
| Collana | NASA technical memorandum |
| Soggetto topico |
Remote sensing
Meteorology Air land interactions Air navigation Calibrating Climatology Multispectral band scanners Multispectral photography Photomapping Satellite imagery |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910690146603321 |
Jedlovec Gary J
|
||
| [Marshall Space Flight Center, Ala.] : , : National Aeronautics and Space Administration, George C. Marshall Space Flight Center, , [1993] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
High speed lookup table approach to radiometric calibration of multispectral image data / / W. Lane Kelly IV, Barry D. Meredith, and William M. Howle
| High speed lookup table approach to radiometric calibration of multispectral image data / / W. Lane Kelly IV, Barry D. Meredith, and William M. Howle |
| Autore | Kelly W. Lane |
| Pubbl/distr/stampa | [Washington, D.C.] : , : National Aeronautics and Space Administration, Scientific and Technical Information Branch, , October 1980 |
| Descrizione fisica | 1 online resource (13 pages) : illustrations |
| Collana | NASA technical paper |
| Soggetto topico |
Image processing
Microprocessors Multispectral photography Onboard data processing Radiometers Image processing - Digital techniques Imaging systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910707468603321 |
|
Kelly W. Lane
|
||
| [Washington, D.C.] : , : National Aeronautics and Space Administration, Scientific and Technical Information Branch, , October 1980 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hyperspectral data exploitation [[electronic resource] ] : theory and applications / / edited by Chein-I Chang
| Hyperspectral data exploitation [[electronic resource] ] : theory and applications / / edited by Chein-I Chang |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (442 p.) |
| Disciplina |
526.982
621.3678 |
| Altri autori (Persone) | ChangChein-I |
| Soggetto topico |
Remote sensing
Multispectral photography Image processing - Digital techniques |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-82243-0
9786610822430 0-470-12462-8 0-470-12461-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
HYPERSPECTRAL DATA EXPLOITATION; CONTENTS; PREFACE; CONTRIBUTORS; 1. OVERVIEW; I TUTORIALS; 2. HYPERSPECTRAL IMAGING SYSTEMS; 3. INFORMATION-PROCESSED MATCHED FILTERS FOR HYPERSPECTRAL TARGET DETECTION AND CLASSIFICATION; II THEORY; 4. AN OPTICAL REAL-TIME ADAPTIVE SPECTRAL IDENTIFICATION SYSTEM (ORASIS); 5. STOCHASTIC MIXTURE MODELING; 6. UNMIXING HYPERSPECTRAL DATA: INDEPENDENT AND DEPENDENT COMPONENT ANALYSIS; 7. MAXIMUM VOLUME TRANSFORM FOR ENDMEMBER SPECTRA DETERMINATION; 8. HYPERSPECTRAL DATA REPRESENTATION; 9. OPTIMAL BAND SELECTION AND UTILITY EVALUATION FOR SPECTRAL SYSTEMS
10. FEATURE REDUCTION FOR CLASSIFICATION PURPOSE11. SEMISUPERVISED SUPPORT VECTOR MACHINES FOR CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES; III APPLICATIONS; 12. DECISION FUSION FOR HYPERSPECTRAL CLASSIFICATION; 13. MORPHOLOGICAL HYPERSPECTRAL IMAGE CLASSIFICATION: A PARALLEL PROCESSING PERSPECTIVE; 14. THREE-DIMENSIONAL WAVELET-BASED COMPRESSION OF HYPERSPECTRAL IMAGERY; INDEX |
| Record Nr. | UNINA-9910143423103321 |
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hyperspectral data exploitation [[electronic resource] ] : theory and applications / / edited by Chein-I Chang
| Hyperspectral data exploitation [[electronic resource] ] : theory and applications / / edited by Chein-I Chang |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (442 p.) |
| Disciplina |
526.982
621.3678 |
| Altri autori (Persone) | ChangChein-I |
| Soggetto topico |
Remote sensing
Multispectral photography Image processing - Digital techniques |
| ISBN |
1-280-82243-0
9786610822430 0-470-12462-8 0-470-12461-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
HYPERSPECTRAL DATA EXPLOITATION; CONTENTS; PREFACE; CONTRIBUTORS; 1. OVERVIEW; I TUTORIALS; 2. HYPERSPECTRAL IMAGING SYSTEMS; 3. INFORMATION-PROCESSED MATCHED FILTERS FOR HYPERSPECTRAL TARGET DETECTION AND CLASSIFICATION; II THEORY; 4. AN OPTICAL REAL-TIME ADAPTIVE SPECTRAL IDENTIFICATION SYSTEM (ORASIS); 5. STOCHASTIC MIXTURE MODELING; 6. UNMIXING HYPERSPECTRAL DATA: INDEPENDENT AND DEPENDENT COMPONENT ANALYSIS; 7. MAXIMUM VOLUME TRANSFORM FOR ENDMEMBER SPECTRA DETERMINATION; 8. HYPERSPECTRAL DATA REPRESENTATION; 9. OPTIMAL BAND SELECTION AND UTILITY EVALUATION FOR SPECTRAL SYSTEMS
10. FEATURE REDUCTION FOR CLASSIFICATION PURPOSE11. SEMISUPERVISED SUPPORT VECTOR MACHINES FOR CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES; III APPLICATIONS; 12. DECISION FUSION FOR HYPERSPECTRAL CLASSIFICATION; 13. MORPHOLOGICAL HYPERSPECTRAL IMAGE CLASSIFICATION: A PARALLEL PROCESSING PERSPECTIVE; 14. THREE-DIMENSIONAL WAVELET-BASED COMPRESSION OF HYPERSPECTRAL IMAGERY; INDEX |
| Record Nr. | UNINA-9910830729603321 |
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hyperspectral data exploitation : theory and applications / / edited by Chein-I Chang
| Hyperspectral data exploitation : theory and applications / / edited by Chein-I Chang |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (442 p.) |
| Disciplina |
526.982
621.3678 |
| Altri autori (Persone) | ChangChein-I |
| Soggetto topico |
Remote sensing
Multispectral photography Image processing - Digital techniques |
| ISBN |
1-280-82243-0
9786610822430 0-470-12462-8 0-470-12461-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
HYPERSPECTRAL DATA EXPLOITATION; CONTENTS; PREFACE; CONTRIBUTORS; 1. OVERVIEW; I TUTORIALS; 2. HYPERSPECTRAL IMAGING SYSTEMS; 3. INFORMATION-PROCESSED MATCHED FILTERS FOR HYPERSPECTRAL TARGET DETECTION AND CLASSIFICATION; II THEORY; 4. AN OPTICAL REAL-TIME ADAPTIVE SPECTRAL IDENTIFICATION SYSTEM (ORASIS); 5. STOCHASTIC MIXTURE MODELING; 6. UNMIXING HYPERSPECTRAL DATA: INDEPENDENT AND DEPENDENT COMPONENT ANALYSIS; 7. MAXIMUM VOLUME TRANSFORM FOR ENDMEMBER SPECTRA DETERMINATION; 8. HYPERSPECTRAL DATA REPRESENTATION; 9. OPTIMAL BAND SELECTION AND UTILITY EVALUATION FOR SPECTRAL SYSTEMS
10. FEATURE REDUCTION FOR CLASSIFICATION PURPOSE11. SEMISUPERVISED SUPPORT VECTOR MACHINES FOR CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES; III APPLICATIONS; 12. DECISION FUSION FOR HYPERSPECTRAL CLASSIFICATION; 13. MORPHOLOGICAL HYPERSPECTRAL IMAGE CLASSIFICATION: A PARALLEL PROCESSING PERSPECTIVE; 14. THREE-DIMENSIONAL WAVELET-BASED COMPRESSION OF HYPERSPECTRAL IMAGERY; INDEX |
| Record Nr. | UNINA-9910841298003321 |
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Signal theory methods in multispectral remote sensing [[electronic resource] /] / David A. Landgrebe
| Signal theory methods in multispectral remote sensing [[electronic resource] /] / David A. Landgrebe |
| Autore | Landgrebe D. A |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2003 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 621.3678 |
| Collana | Wiley series in remote sensing |
| Soggetto topico |
Remote sensing
Multispectral photography Signal theory (Telecommunication) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-27329-1
9786610273294 0-470-32133-4 0-471-72125-5 0-471-72380-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
SIGNAL THEORY METHODS IN MULTISPECTRAL REMOTE SENSING; Contents; PREFACE; PART I. INTRODUCTION; CHAPTER 1. INTRODUCTION AND BACKGROUND; 1.1 THE BEGINNING OF SPACE AGE REMOTE SENSING; 1.2 THE FUNDAMENTAL BASIS FOR REMOTE SENSING; 1.3 THE SYSTEMS VIEW AND ITS INTERDISCIPLINARY NATURE; 1.4 THE EM SPECTRUM AND HOW INFORMATION IS CONVEYED; 1.5 THE MULTISPECTRAL CONCEPT AND DATA REPRESENTATIONS; 1.6 DATA ANALYSIS AND PARTITIONING FEATURE SPACE; 1.7 THE SIGNIFICANCE OF SECOND-ORDER VARIATIONS; 1.8 SUMMARY; PART II. THE BASICS FOR CONVENTIONAL MULTISPECTRAL DATA
CHAPTER 2. RADIATION AND SENSOR SYSTEMS IN REMOTE SENSING2.0 INTRODUCTION; 2.1 RADIATION TERMINOLOGY AND UNITS; 2.2 PLANCK'S LAW AND BLACK BODY RADIATION; 2.3 SOLAR RADIATION; 2.4 ATMOSPHERIC EFFECTS; 2.5 SENSOR OPTICS; 2.6 DESCRIBING SURFACE REFLECTANCE; 2.7 RADIATION DETECTORS; 2.8. SORTING RADIATION BY WAVELENGTH; 2.9 MULTISPECTRAL SENSOR SYSTEMS; 2.10 THE DEVELOPMENT OF MULTISPECTRAL SENSOR SYSTEMS; 2.11 SUMMARY; CHAPTER 3. PATTERN RECOGNITION IN REMOTE SENSING; 3.1 THE SYNOPTIC VIEW AND THE VOLUME OF DATA; 3.2 WHAT IS A PATTERN?; 3.3 DISCRIMINANT FUNCTIONS 3.4 TRAINING THE CLASSIFIER: AN ITERATIVE APPROACH3.5 TRAINING THE CLASSIFIER: THE STATISTICAL APPROACH; 3.6 DISCRIMINANT FUNCTIONS: THE CONTINUOUS CASE; 3.7 THE GAUSSIAN CASE; 3.8 OTHER TYPES OF CLASSIFIERS; 3.9 THRESHOLDING; 3.10 ON THE CHARACTERISTICS, VALUE, AND VALIDITY OF THE GAUSSIAN ASSUMPTION; 3.11 THE HUGHES EFFECT; 3.12 SUMMARY TO THIS POINT; 3.13 EVALUATING THE CLASSIFIER: PROBABILITY OF ERROR; 3.14 CLUSTERING: UNSUPERVISED ANALYSIS; 3.15 THE NATURE OF MULTISPECTRAL DATA IN FEATURE SPACE; 3.16 ANALYZING DATA: PUTTING THE PIECES TOGETHER; 3.17 AN EXAMPLE ANALYSIS PART III. ADDITIONAL DETAILSCHAPTER 4. TRAINING A CLASSIFIER; 4.1 CLASSIFIER TRAINING FUNDAMENTALS; 4.2 THE STATISTICS ENHANCEMENT CONCEPT; 4.3 THE STATISTICS ENHANCEMENT IMPLEMENTATION; 4.4 ILLUSTRATIONS OF THE EFFECT OF STATISTICS ENHANCEMENT; 4.5 ROBUST STATISTICS ENHANCEMENT; 4.6 ILLUSTRATIVE EXAMPLES OF ROBUST EXPECTATION MAXIMATION; 4.7 SOME ADDITIONAL COMMENTS; 4.8 A SMALL SAMPLE COVARIANCE ESTIMATION SCHEME; 4.9 RESULTS FOR SOME EXAMPLES; CHAPTER 5. HYPERSPECTRAL DATA CHARACTERISTICS; 5.1 INTRODUCTION; 5.2 A VISUALIZATION TOOL; 5.3 ACCURACY VS. STATISTICS ORDER 5.4 HIGH-DIMENSIONAL SPACES: A CLOSER LOOK5.5 ASYMPTOTICAL FIRST AND SECOND ORDER STATISTICS PROPERTIES; 5.6 HIGH-DIMENSIONAL IMPLICATIONS FOR SUPERVISED CLASSIFICATION; CHAPTER 6. FEATURE DEFINITION; 6.1 INTRODUCTION; 6.2 AD HOC AND DETERMINISTIC METHODS; 6.3 FEATURE SELECTION; 6.4 PRINCIPAL COMPONENTS/KARHUNEN-LOEVE; 6.5 DISCRIMINANT ANALYSIS FEATURE EXTRACTION (DAFE); 6.6 DECISION BOUNDARY FEATURE EXTRACTION (DBFE); 6.7 NONPARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE); 6.8 PROJECTION PURSUIT; CHAPTER 7. A DATA ANALYSIS PARADIGM AND EXAMPLES 7.1 A PARADIGM FOR MULTISPECTRAL AND HYPERSPECTRAL DATA ANALYSIS |
| Record Nr. | UNINA-9910146067103321 |
|
Landgrebe D. A
|
||
| Hoboken, N.J., : Wiley, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Signal theory methods in multispectral remote sensing [[electronic resource] /] / David A. Landgrebe
| Signal theory methods in multispectral remote sensing [[electronic resource] /] / David A. Landgrebe |
| Autore | Landgrebe D. A |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2003 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 621.3678 |
| Collana | Wiley series in remote sensing |
| Soggetto topico |
Remote sensing
Multispectral photography Signal theory (Telecommunication) |
| ISBN |
1-280-27329-1
9786610273294 0-470-32133-4 0-471-72125-5 0-471-72380-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
SIGNAL THEORY METHODS IN MULTISPECTRAL REMOTE SENSING; Contents; PREFACE; PART I. INTRODUCTION; CHAPTER 1. INTRODUCTION AND BACKGROUND; 1.1 THE BEGINNING OF SPACE AGE REMOTE SENSING; 1.2 THE FUNDAMENTAL BASIS FOR REMOTE SENSING; 1.3 THE SYSTEMS VIEW AND ITS INTERDISCIPLINARY NATURE; 1.4 THE EM SPECTRUM AND HOW INFORMATION IS CONVEYED; 1.5 THE MULTISPECTRAL CONCEPT AND DATA REPRESENTATIONS; 1.6 DATA ANALYSIS AND PARTITIONING FEATURE SPACE; 1.7 THE SIGNIFICANCE OF SECOND-ORDER VARIATIONS; 1.8 SUMMARY; PART II. THE BASICS FOR CONVENTIONAL MULTISPECTRAL DATA
CHAPTER 2. RADIATION AND SENSOR SYSTEMS IN REMOTE SENSING2.0 INTRODUCTION; 2.1 RADIATION TERMINOLOGY AND UNITS; 2.2 PLANCK'S LAW AND BLACK BODY RADIATION; 2.3 SOLAR RADIATION; 2.4 ATMOSPHERIC EFFECTS; 2.5 SENSOR OPTICS; 2.6 DESCRIBING SURFACE REFLECTANCE; 2.7 RADIATION DETECTORS; 2.8. SORTING RADIATION BY WAVELENGTH; 2.9 MULTISPECTRAL SENSOR SYSTEMS; 2.10 THE DEVELOPMENT OF MULTISPECTRAL SENSOR SYSTEMS; 2.11 SUMMARY; CHAPTER 3. PATTERN RECOGNITION IN REMOTE SENSING; 3.1 THE SYNOPTIC VIEW AND THE VOLUME OF DATA; 3.2 WHAT IS A PATTERN?; 3.3 DISCRIMINANT FUNCTIONS 3.4 TRAINING THE CLASSIFIER: AN ITERATIVE APPROACH3.5 TRAINING THE CLASSIFIER: THE STATISTICAL APPROACH; 3.6 DISCRIMINANT FUNCTIONS: THE CONTINUOUS CASE; 3.7 THE GAUSSIAN CASE; 3.8 OTHER TYPES OF CLASSIFIERS; 3.9 THRESHOLDING; 3.10 ON THE CHARACTERISTICS, VALUE, AND VALIDITY OF THE GAUSSIAN ASSUMPTION; 3.11 THE HUGHES EFFECT; 3.12 SUMMARY TO THIS POINT; 3.13 EVALUATING THE CLASSIFIER: PROBABILITY OF ERROR; 3.14 CLUSTERING: UNSUPERVISED ANALYSIS; 3.15 THE NATURE OF MULTISPECTRAL DATA IN FEATURE SPACE; 3.16 ANALYZING DATA: PUTTING THE PIECES TOGETHER; 3.17 AN EXAMPLE ANALYSIS PART III. ADDITIONAL DETAILSCHAPTER 4. TRAINING A CLASSIFIER; 4.1 CLASSIFIER TRAINING FUNDAMENTALS; 4.2 THE STATISTICS ENHANCEMENT CONCEPT; 4.3 THE STATISTICS ENHANCEMENT IMPLEMENTATION; 4.4 ILLUSTRATIONS OF THE EFFECT OF STATISTICS ENHANCEMENT; 4.5 ROBUST STATISTICS ENHANCEMENT; 4.6 ILLUSTRATIVE EXAMPLES OF ROBUST EXPECTATION MAXIMATION; 4.7 SOME ADDITIONAL COMMENTS; 4.8 A SMALL SAMPLE COVARIANCE ESTIMATION SCHEME; 4.9 RESULTS FOR SOME EXAMPLES; CHAPTER 5. HYPERSPECTRAL DATA CHARACTERISTICS; 5.1 INTRODUCTION; 5.2 A VISUALIZATION TOOL; 5.3 ACCURACY VS. STATISTICS ORDER 5.4 HIGH-DIMENSIONAL SPACES: A CLOSER LOOK5.5 ASYMPTOTICAL FIRST AND SECOND ORDER STATISTICS PROPERTIES; 5.6 HIGH-DIMENSIONAL IMPLICATIONS FOR SUPERVISED CLASSIFICATION; CHAPTER 6. FEATURE DEFINITION; 6.1 INTRODUCTION; 6.2 AD HOC AND DETERMINISTIC METHODS; 6.3 FEATURE SELECTION; 6.4 PRINCIPAL COMPONENTS/KARHUNEN-LOEVE; 6.5 DISCRIMINANT ANALYSIS FEATURE EXTRACTION (DAFE); 6.6 DECISION BOUNDARY FEATURE EXTRACTION (DBFE); 6.7 NONPARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE); 6.8 PROJECTION PURSUIT; CHAPTER 7. A DATA ANALYSIS PARADIGM AND EXAMPLES 7.1 A PARADIGM FOR MULTISPECTRAL AND HYPERSPECTRAL DATA ANALYSIS |
| Record Nr. | UNINA-9910830861503321 |
|
Landgrebe D. A
|
||
| Hoboken, N.J., : Wiley, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Signal theory methods in multispectral remote sensing / / David A. Landgrebe
| Signal theory methods in multispectral remote sensing / / David A. Landgrebe |
| Autore | Landgrebe D. A |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2003 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 621.3678 |
| Collana | Wiley series in remote sensing |
| Soggetto topico |
Remote sensing
Multispectral photography Signal theory (Telecommunication) |
| ISBN |
1-280-27329-1
9786610273294 0-470-32133-4 0-471-72125-5 0-471-72380-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
SIGNAL THEORY METHODS IN MULTISPECTRAL REMOTE SENSING; Contents; PREFACE; PART I. INTRODUCTION; CHAPTER 1. INTRODUCTION AND BACKGROUND; 1.1 THE BEGINNING OF SPACE AGE REMOTE SENSING; 1.2 THE FUNDAMENTAL BASIS FOR REMOTE SENSING; 1.3 THE SYSTEMS VIEW AND ITS INTERDISCIPLINARY NATURE; 1.4 THE EM SPECTRUM AND HOW INFORMATION IS CONVEYED; 1.5 THE MULTISPECTRAL CONCEPT AND DATA REPRESENTATIONS; 1.6 DATA ANALYSIS AND PARTITIONING FEATURE SPACE; 1.7 THE SIGNIFICANCE OF SECOND-ORDER VARIATIONS; 1.8 SUMMARY; PART II. THE BASICS FOR CONVENTIONAL MULTISPECTRAL DATA
CHAPTER 2. RADIATION AND SENSOR SYSTEMS IN REMOTE SENSING2.0 INTRODUCTION; 2.1 RADIATION TERMINOLOGY AND UNITS; 2.2 PLANCK'S LAW AND BLACK BODY RADIATION; 2.3 SOLAR RADIATION; 2.4 ATMOSPHERIC EFFECTS; 2.5 SENSOR OPTICS; 2.6 DESCRIBING SURFACE REFLECTANCE; 2.7 RADIATION DETECTORS; 2.8. SORTING RADIATION BY WAVELENGTH; 2.9 MULTISPECTRAL SENSOR SYSTEMS; 2.10 THE DEVELOPMENT OF MULTISPECTRAL SENSOR SYSTEMS; 2.11 SUMMARY; CHAPTER 3. PATTERN RECOGNITION IN REMOTE SENSING; 3.1 THE SYNOPTIC VIEW AND THE VOLUME OF DATA; 3.2 WHAT IS A PATTERN?; 3.3 DISCRIMINANT FUNCTIONS 3.4 TRAINING THE CLASSIFIER: AN ITERATIVE APPROACH3.5 TRAINING THE CLASSIFIER: THE STATISTICAL APPROACH; 3.6 DISCRIMINANT FUNCTIONS: THE CONTINUOUS CASE; 3.7 THE GAUSSIAN CASE; 3.8 OTHER TYPES OF CLASSIFIERS; 3.9 THRESHOLDING; 3.10 ON THE CHARACTERISTICS, VALUE, AND VALIDITY OF THE GAUSSIAN ASSUMPTION; 3.11 THE HUGHES EFFECT; 3.12 SUMMARY TO THIS POINT; 3.13 EVALUATING THE CLASSIFIER: PROBABILITY OF ERROR; 3.14 CLUSTERING: UNSUPERVISED ANALYSIS; 3.15 THE NATURE OF MULTISPECTRAL DATA IN FEATURE SPACE; 3.16 ANALYZING DATA: PUTTING THE PIECES TOGETHER; 3.17 AN EXAMPLE ANALYSIS PART III. ADDITIONAL DETAILSCHAPTER 4. TRAINING A CLASSIFIER; 4.1 CLASSIFIER TRAINING FUNDAMENTALS; 4.2 THE STATISTICS ENHANCEMENT CONCEPT; 4.3 THE STATISTICS ENHANCEMENT IMPLEMENTATION; 4.4 ILLUSTRATIONS OF THE EFFECT OF STATISTICS ENHANCEMENT; 4.5 ROBUST STATISTICS ENHANCEMENT; 4.6 ILLUSTRATIVE EXAMPLES OF ROBUST EXPECTATION MAXIMATION; 4.7 SOME ADDITIONAL COMMENTS; 4.8 A SMALL SAMPLE COVARIANCE ESTIMATION SCHEME; 4.9 RESULTS FOR SOME EXAMPLES; CHAPTER 5. HYPERSPECTRAL DATA CHARACTERISTICS; 5.1 INTRODUCTION; 5.2 A VISUALIZATION TOOL; 5.3 ACCURACY VS. STATISTICS ORDER 5.4 HIGH-DIMENSIONAL SPACES: A CLOSER LOOK5.5 ASYMPTOTICAL FIRST AND SECOND ORDER STATISTICS PROPERTIES; 5.6 HIGH-DIMENSIONAL IMPLICATIONS FOR SUPERVISED CLASSIFICATION; CHAPTER 6. FEATURE DEFINITION; 6.1 INTRODUCTION; 6.2 AD HOC AND DETERMINISTIC METHODS; 6.3 FEATURE SELECTION; 6.4 PRINCIPAL COMPONENTS/KARHUNEN-LOEVE; 6.5 DISCRIMINANT ANALYSIS FEATURE EXTRACTION (DAFE); 6.6 DECISION BOUNDARY FEATURE EXTRACTION (DBFE); 6.7 NONPARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE); 6.8 PROJECTION PURSUIT; CHAPTER 7. A DATA ANALYSIS PARADIGM AND EXAMPLES 7.1 A PARADIGM FOR MULTISPECTRAL AND HYPERSPECTRAL DATA ANALYSIS |
| Record Nr. | UNINA-9910841237503321 |
|
Landgrebe D. A
|
||
| Hoboken, N.J., : Wiley, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological and radiological defense [[electronic resource] /] / editors, Dwight Woolard, Janet Jensen
| Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological and radiological defense [[electronic resource] /] / editors, Dwight Woolard, Janet Jensen |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (503 p.) |
| Disciplina | 574.1/9285 |
| Altri autori (Persone) |
WoolardDwight L
JensenJanet L. <1964-> |
| Collana | Selected topics in electronics and systems |
| Soggetto topico |
Spectrum analysis
Remote sensing Chemical detectors Multispectral photography Environmental monitoring Water - Pollution - Measurement Chemical terrorism - Prevention |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-44099-3
9786612440991 981-283-324-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Water sensing and monitoring sessions -- Frontier session. |
| Record Nr. | UNINA-9910456893903321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological and radiological defense [[electronic resource] /] / editors, Dwight Woolard, Janet Jensen
| Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological and radiological defense [[electronic resource] /] / editors, Dwight Woolard, Janet Jensen |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (503 p.) |
| Disciplina | 574.1/9285 |
| Altri autori (Persone) |
WoolardDwight L
JensenJanet L. <1964-> |
| Collana | Selected topics in electronics and systems |
| Soggetto topico |
Spectrum analysis
Remote sensing Chemical detectors Multispectral photography Environmental monitoring Water - Pollution - Measurement Chemical terrorism - Prevention |
| ISBN |
1-282-44099-3
9786612440991 981-283-324-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Water sensing and monitoring sessions -- Frontier session. |
| Record Nr. | UNINA-9910780926703321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
