Remote sensing digital image analysis: an introduction
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin u.a.
Springer
1993
|
| Ausgabe: | 2., rev. and enl. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XX, 340 S. Ill., graph. Darst. |
| ISBN: | 3540548408 0387548408 |
Internformat
MARC
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| 100 | 1 | |a Richards, John Alan |d 1945- |e Verfasser |0 (DE-588)120671549 |4 aut | |
| 245 | 1 | 0 | |a Remote sensing digital image analysis |b an introduction |c John A. Richards |
| 250 | |a 2., rev. and enl. ed. | ||
| 264 | 1 | |a Berlin u.a. |b Springer |c 1993 | |
| 300 | |a XX, 340 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Analyse d'images | |
| 650 | 7 | |a Beeldverwerking |2 gtt | |
| 650 | 7 | |a Digitale technieken |2 gtt | |
| 650 | 7 | |a Remote sensing |2 gtt | |
| 650 | 4 | |a Traitement d'images - Techniques numériques | |
| 650 | 4 | |a Télédétection | |
| 650 | 4 | |a Image processing |x Digital techniques | |
| 650 | 4 | |a Remote sensing | |
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Datensatz im Suchindex
| _version_ | 1804120892021669888 |
|---|---|
| adam_text | JOHN A. RICHARDS REMOTE SENSING DIGITAL IMAGE ANALYSIS AN INTRODUCTION
SECOND, REVISED AND ENLARGED EDITION WITH 170 FIGURES SPRINGER-VERLAG
BERLIN HEIDELBERG NEW YORK LONDON PARIS TOKYO HONG KONG BARCELONA
BUDAPEST CONTENTS CHAPTER 1 * SOURCES AND CHARACTERISTICS OF REMOTE
SENSING IMAGE DATA 1 1.1 INTRODUCTION TO DATA SOURCES 1 1.1.1
CHARACTERISTICS OF DIGITAL IMAGE DATA 1 1.1.2 SPECTRAL RANGES COMMONLY
USED IN REMOTE SENSING 2 1.1.3 CONCLUDING REMARKS 6 1.2 WEATHER
SATELLITE SENSORS 7 1.2.1 POLAR ORBITING AND GEOSYNCHRONOUS SATELLITES 7
1.2.2 THE NOAA AVHRR (ADVANCED VERY HIGH RESOLUTION RADIOMETER) 8 1.2.3
THE NIMBUS CZCS (COASTAL ZONE COLOUR SCANNER) 8 1.2.4 GMS VISSR (VISIBLE
AND INFRARED SPIN SCAN RADIOMETER) 8 1.3 EARTH RESOURCE SATELLITE
SENSORS IN THE VISIBLE AND INFRARED REGIONS 9 1.3.1 THE LANDSAT SYSTEM 9
1.3.2 THE LANDSAT INSTRUMENT COMPLEMENT 10 1.3.3 THE RETURN BEAM VIDICON
(RBV) 11 1.3.4 THE MULTISPECTRAL SCANNER(MSS) 11 1.3.5 THE THEMATIC
MAPPER (TM) 13 1.3.6 THE SPOT HIGH RESOLUTION VISIBLE (HRV) IMAGING
INSTRUMENT.. 14 1.3.7 THE SKYLAB S 192 MULTISPECTRAL SCANNER 15 1.3.8
THE HEAT CAPACITY MAPPING RADIOMETER (HCMR) 15 1.3.9 MARINE OBSERVATION
SATELLITE (MOS) 16 1.3.10 INDIAN REMOTE SENSING SATELLITE (IRS) 17 1.4
AIRCRAFT SCANNERS IN THE VISIBLE AND INFRARED REGIONS 17 1.4.1 GENERAL
CONSIDERATIONS 17 1.4.2 THE DAEDALUS AADS 1240/1260 MULTISPECTRAL LINE
SCANNER 18 1.4.3 THE AIRBORNE THEMATIC MAPPER (ATM) 19 1.4.4 THE THERMAL
INFRARED MULTISPECTRAL SCANNER (TIMS) 20 1.4.5 THE MDA MEIS-II LINEAR
ARRAY AIRCRAFT SCANNER 21 1.4.6 IMAGING SPECTROMETERS 21 1.5 IMAGE DATA
SOURCES IN THE MICROWAVE REGION 24 1.5.1 SIDE LOOKING AIRBORNE RADAR AND
SYNTHETIC APERTURE RADAR ... 24 1.5.2 THE SEASAT SAR 26 1.5.3 SHUTTLE
IMAGING RADAR-A (SIR-A) 27 1.5.4 SHUTTLE IMAGING RADAR-B (SIR-B) 27
1.5.5 ERS-1 27 XII CONTENTS 1.5.6 JERS-1 27 1.5.7 RADARSAT 28 1.5.8
AIRCRAFT IMAGING RADAR SYSTEMS 28 1.6 SPATIAL DATA SOURCES IN GENERAL 29
1.6.1 TYPES OF SPATIAL DATA 29 1.6.2 DATA FORMATS 30 1.6.3 GEOGRAPHIC
INFORMATION SYSTEMS (GIS) 31 1.6.4 THE CHALLENGE TO IMAGE PROCESSING AND
ANALYSIS 33 1.7 A COMPARISON OF SCALES IN DIGITAL IMAGE DATA 34
REFERENCES FOR CHAPTER 1 35 PROBLEMS 36 CHAPTER 2 * ERROR CORRECTION AND
REGISTRATION OF IMAGE DATA 39 2.1 SOURCES OF RADIOMETRIC DISTORTION 39
2.1.1 THE EFFECT OF THE ATMOSPHERE ON RADIATION 39 2.1.2 ATMOSPHERIC
EFFECTS ON REMOTE SENSING IMAGERY 43 2.1.3 INSTRUMENTATION ERRORS 43 2.2
CORRECTION OF RADIOMETRIC DISTORTION 44 2.2.1 DETAILED CORRECTION OF
ATMOSPHERIC EFFECTS 44 2.2.2 BULK CORRECTION OF ATMOSPHERIC EFFECTS 46
2.2.3 CORRECTION OF INSTRUMENTATION ERRORS 47 2.3 SOURCES OF GEOMETRIC
DISTORTION 48 2.3.1 EARTH ROTATION EFFECTS 49 2.3.2 PANORAMIC DISTORTION
51 2.3.3 EARTH CURVATURE 53 2.3.4 SCAN TIME SKEW 54 2.3.5 VARIATIONS IN
PLATFORM ALTITUDE, VELOCITY AND ATTITUDE 54 2.3.6 ASPECT RATIO
DISTORTION 55 2.3.7 SENSOR SCAN NONLINEARITIES 55 2.4 CORRECTION OF
GEOMETRIC DISTORTION 56 2.4.1 USE OF MAPPING POLYNOMIALS FOR IMAGE
CORRECTION 56 2.4.1.1 MAPPING POLYNOMIALS AND GROUND CONTROL POINTS 57
2.4.1.2 RESAMPLING 58 2.4.1.3 INTERPOLATION 58 2.4.1.4 CHOICE OF CONTROL
POINTS 60 2.4.1.5 EXAMPLE OF REGISTRATION TO A MAP GRID 61 2.4.2
MATHEMATICAL MODELLING 64 2.4.2.1 ASPECT RATIO CORRECTION 64 2.4.2.2
EARTH ROTATION SKEW CORRECTION 64 2.4.2.3 IMAGE ORIENTATION TO
NORTH-SOUTH 65 2.4.2.4 CORRECTION OF PANORAMIC EFFECTS 65 2.4.2.5
COMBINING THE CORRECTIONS 65 2.5 IMAGE REGISTRATION 66 CONTENTS XIII
2.5.1 GEOREFERENCING AND GEOCODING 66 2.5.2 IMAGE TO IMAGE REGISTRATION
66 2.5.3 SEQUENTIAL SIMILARITY DETECTION ALGORITHM 67 2.5.4 EXAMPLE OF
IMAGE TO IMAGE REGISTRATION 67 2.6 MISCELLANEOUS IMAGE GEOMETRY
OPERATIONS 70 2.6.1 IMAGE ROTATION 70 2.6.2 SCALE CHANGING AND ZOOMING
70 REFERENCES FOR CHAPTER 2 71 PROBLEMS 71 CHAPTER 3 * THE
INTERPRETATION OF DIGITAL IMAGE DATA 7 5 3.1 TWO APPROACHES TO
INTERPRETATION 75 3.2 FORMS OF IMAGERY FOR PHOTOINTERPRETATION 76 3.3
COMPUTER PROCESSING FOR PHOTOINTERPRETATION 79 3.4 AN INTRODUCTION TO
QUANTITATIVE ANALYSIS * CLASSIFICATION 81 3.5 MULTISPECTRAL SPACE AND
SPECTRAL CLASSES 82 3.6 QUANTITATIVE ANALYSIS BY PATTERN RECOGNITION 84
3.6.1 PIXEL VECTORS AND LABELLING 84 3.6.2 UNSUPERVISED CLASSIFICATION
85 3.6.3 SUPERVISED CLASSIFICATION 85 REFERENCES FOR CHAPTER 3 87
PROBLEMS 87 CHAPTER 4 * RADIOMETRIC ENHANCEMENT TECHNIQUES 89 4.1
INTRODUCTION 89 4.1.1 POINT OPERATIONS AND LOOK UP TABLES 89 4.1.2
SCALAR AND VECTOR IMAGES 89 4.2 THE IMAGE HISTOGRAM 91 4.3 CONTRAST
MODIFICATION IN IMAGE DATA 92 4.3.1 HISTOGRAM MODIFICATION RULE 92 4.3.2
LINEAR CONTRAST ENHANCEMENT 93 4.3.3 SATURATING LINEAR CONTRAST
ENHANCEMENT 95 4.3.4 AUTOMATIC CONTRAST ENHANCEMENT 96 4.3.5 LOGARITHMIC
AND EXPONENTIAL CONTRAST ENHANCEMENT 96 4.3.6 PIECEWISE LINEAR CONTRAST
MODIFICATION 96 4.4 HISTOGRAM EQUALIZATION 97 4.4.1 USE OF THE
CUMULATIVE HISTOGRAM 97 4.4.2 ANOMALIES IN HISTOGRAM EQUALIZATION 101
4.5 HISTOGRAM MATCHING 102 4.5.1 PRINCIPLE OF HISTOGRAM MATCHING 102 XIV
CONTENTS 4.5.2 IMAGE TO IMAGE CONTRAST MATCHING 103 4.5.3 MATCHING TO A
MATHEMATICAL REFERENCE 104 4.6 DENSITY SLICING 106 4.6.1 BLACK AND WHITE
DENSITY SLICING 106 4.6.2 COLOUR DENSITY SLICING AND PSEUDOCOLOURING 107
REFERENCES FOR CHAPTER 4 109 PROBLEMS 110 CHAPTER 5 * GEOMETRIC
ENHANCEMENT USING IMAGE DOMAIN TECHNIQUES 113 5.1 NEIGHBOURHOOD
OPERATIONS 113 5.2 TEMPLATE OPERATORS 113 5.3 GEOMETRIC ENHANCEMENT AS A
CONVOLUTION OPERATION 114 5.4 IMAGE DOMAIN VERSUS FOURIER TRANSFORMATION
APPROACHES .... 117 5.5 IMAGE SMOOTHING (LOW PASS FILTERING) 118 5.5.1
MEAN VALUE SMOOTHING 118 5.5.2 MEDIAN FILTERING 121 5.6 EDGE DETECTION
AND ENHANCEMENT 122 5.6.1 LINEAR EDGE DETECTING TEMPLATES 123 5.6.2
SPATIAL DERIVATIVE TECHNIQUES 124 5.6.2.1 THE ROBERTS OPERATOR 124
5.6.2.2 THE SOBEL OPERATOR 125 5.6.3 THINNING, LINKING AND EDGE
RESPONSES 125 5.6.4 EDGE ENHANCEMENT BY SUBTRACTIVE SMOOTHING 126 5.7
LINE DETECTION 129 5.7.1 LINEAR LINE DETECTING TEMPLATES 129 5.7.2
NON-LINEAR AND SEMI-LINEAR LINE DETECTING TEMPLATES 129 5.8 GENERAL
CONVOLUTION FILTERING 130 5.9 SHAPE DETECTION 130 REFERENCES FOR CHAPTER
5 131 PROBLEMS 132 CHAPTER 6 * MULTISPECTRAL TRANSFORMATIONS OF IMAGE
DATA 133 6.1 THE PRINCIPAL COMPONENTS TRANSFORMATION 133 6.1.1 THE MEAN
VECTOR AND COVARIANCE MATRIX 133 6.1.2 A ZERO CORRELATION, ROTATIONAL
TRANSFORM 136 6.1.3 AN EXAMPLE * SOME PRACTICAL CONSIDERATIONS 142 6.1.4
THE EFFECT OFAN ORIGIN SHIFT 144 CONTENTS XV 6.1.5 APPLICATION OF
PRINCIPAL COMPONENTS IN IMAGE ENHANCEMENT AND DISPLAY 144 6.1.6 THE
TAYLOR METHOD OF CONTRAST ENHANCEMENT 145 6.1.7 OTHER APPLICATIONS OF
PRINCIPAL COMPONENTS ANALYSIS 148 6.2 THE KAUTH-THOMAS TASSELED CAP
TRANSFORMATION 148 6.3 IMAGE ARITHMETIC, BAND RATIOS AND VEGETATION
INDICES 152 REFERENCES FOR CHAPTER 6 152 PROBLEMS 153 CHAPTER7 * FOURIER
TRANSFORMATION OF IMAGE DATA 155 7.1 INTRODUCTION 155 7.2 SPECIAL
FUNCTIONS 155 7.2.1 THE COMPLEX EXPONENTIAL FUNCTION 155 7.2.2 THE DIRAC
DELTA FUNCTION 156 7.2.2.1 PROPERTIES OF THE DELTA FUNCTION 157 7.2.3
THE HEAVISIDE STEP FUNCTION 157 7.3 FOURIER SERIES 158 7.4 THE FOURIER
TRANSFORM 159 7.5 CONVOLUTION 160 7.5.1 THE CONVOLUTION INTEGRAL 160
7.5.2 CONVOLUTION WITH AN IMPULSE 162 7.5.3 THE CONVOLUTION THEOREM 162
7.6 SAMPLING THEORY 162 7.7 THE DISCRETE FOURIER TRANSFORM 165 7.7.1 THE
DISCRETE SPECTRUM 165 7.7.2 DISCRETE FOURIER TRANSFORM FORMULAE 166
7.7.3 PROPERTIES OF THE DISCRETE FOURIER TRANSFORM 167 7.7.4 COMPUTATION
OF THE DISCRETE FOURIER TRANSFORM 168 7.7.5 DEVELOPMENT OF THE FAST
FOURIER TRANSFORM ALGORITHM 168 7.7.6 COMPUTATIONAL COST OF THE FAST
FOURIER TRANSFORM 171 7.7.7 BIT SHUFFLING AND STORAGE CONSIDERATIONS 172
7.8 THE DISCRETE FOURIER TRANSFORM OFAN IMAGE 173 7.8.1 DEFINITION 173
7.8.2 EVALUATION OF THE TWO DIMENSIONAL, DISCRETE FOURIER TRANSFORM 173
7.8.3 THE CONCEPT OF SPATIAL FREQUENCY 174 7.8.4 IMAGE FILTERING FOR
GEOMETRIC ENHANCEMENT 176 7.8.5 CONVOLUTION IN TWO DIMENSIONS 176 7.9
CONCLUDING REMARKS 177 REFERENCES FOR CHAPTER 7 178 PROBLEMS 179 XVI
CONTENTS CHAPTER8 * SUPERVISED CLASSIFICATION TECHNIQUES 181 PART I.
STANDARD CLASSIFICATION ALGORITHMS 181 8.1 STEPS IN SUPERVISED
CLASSIFICATION 181 8.2 MAXIMUM LIKELIHOOD CLASSIFICATION 182 8.2.1
BAYES CLASSIFICATION 182 8.2.2 THE MAXIMUM LIKELIHOOD DECISION RULE 183
8.2.3 MULTIVARIATE NORMAL CLASS MODELS 184 8.2.4 DECISION SURFACES 184
8.2.5 THRESHOLDS 185 8.2.6 NUMBER OF TRAINING PIXELS REQUIRED FOR EACH
CLASS 187 8.2.7 A SIMPLE ILLUSTRATION 187 8.3 MINIMUM DISTANCE
CLASSIFICATION 189 8.3.1 THE CASE OF LIMITED TRAINING DATA 189 8.3.2 THE
DISCRIMINANT FUNCTION 189 8.3.3 DEGENERATION OF MAXIMUM LIKELIHOOD TO
MINIMUM DISTANCE CLASSIFICATION 190 8.3.4 DECISION SURFACES 191 8.3.5
THRESHOLDS 192 8.4 PARALLELEPIPED CLASSIFICATION 192 8.5 CLASSIFICATION
TIME COMPARISON OF THE CLASSIFIERS 193 8.6 THE MAHALANOBIS CLASSIFIER
194 8.7 TABLE LOOK UP CLASSIFICATION 194 PART II. MORE ADVANCED
CONSIDERATIONS 195 8.8 CONTEXT CLASSIFICATION 195 8.8.1 THE CONCEPT OF
SPATIAL CONTEXT 195 8.8.2 CONTEXT CLASSIFICATION BY IMAGE PRE-PROCESSING
195 8.8.3 POST CLASSIFICATION FILTERING 196 8.8.4 PROBABILISTIC LABEL
RELAXATION 196 8.8.4.1 THE BASIC ALGORITHM 196 8.8.4.2 THE NEIGHBOURHOOD
FUNCTION 198 8.8.4.3 DETERMINING THE COMPATIBILITY COEFFICIENTS 199
8.8.4.4 THE FINAL STEP - STOPPING THE PROCESS 199 8.8.4.5 EXAMPLES 200
8.9 CLASSIFICATION OF MIXED IMAGE DATA 201 8.9.1 THE STACKED VECTOR
APPROACH 201 8.9.2 STATISTICAL METHODS 203 8.9.3 THE THEORY OF EVIDENCE
203 8.9.3.1 THE CONCEPT OF EVIDENTIAL MASS 203 8.9.3.2 COMBINING
EVIDENCE * THE ORTHOGONAL SUM 205 CONTENTS XVII 8.9.3.3 DECISION RULE
206 8.10 CLASSIFICATION USING NEURAL NETWORKS 207 8.10.1 LINEAR
DISCRIMINATION 207 8.10.1.1 CONCEPT OF A WEIGHT VECTOR 207 8.10.1.2
TESTING CLASS MEMBERSHIP 208 8.10.1.3 TRAINING 208 8.10.1.4 SETTING THE
CORRECTION INCREMENT 211 8.10.1.5 CLASSIFICATION - THE THRESHOLD LOGIC
UNIT 211 8.10.1.6 MULTICATEGORY CLASSIFICATION 211 8.10.2 NETWORKS OF
CLASSIFIERS * SOLUTIONS OF NONLINEAR PROBLEMS .... 213 8.10.3 THE NEURAL
NETWORK APPROACH 214 8.10.3.1 THE PROCESSING ELEMENT 214 8.10.3.2
TRAINING THE NEURAL NETWORK * BACKPROPAGATION 215 8.10.3.3 CHOOSINGTHE
NETWORK PARAMETERS 219 8.10.3.4 EXAMPLES 219 REFERENCES FOR CHAPTER 8
224 PROBLEMS 226 CHAPTER 9 * CLUSTERING AND UNSUPERVISED CLASSIFICATION
229 9.1 DELINEATION OF SPECTRAL CLASSES 229 9.2 SIMILARITY METRICS AND
CLUSTERING CRITERIA 229 9.3 THE ITERATIVE OPTIMIZATION (MIGRATING MEANS)
CLUSTERING ALGORITHM 231 9.3.1 THE BASIC ALGORITHM 231 9.3.2 MERGINGS
AND DELETIONS 233 9.3.3 SPLITTING ELONGATED CLUSTERS 233 9.3.4 CHOICE OF
INITIAL CLUSTER CENTRES 233 9.3.5 CLUSTERING COST 234 9.4 UNSUPERVISED
CLASSIFICATION AND CLUSTER MAPS 234 9.5 A CLUSTERING EXAMPLE 234 9.6 A
SINGLE PASS CLUSTERING TECHNIQUE 236 9.6.1 SINGLE PASS ALGORITHM 236
9.6.2 ADVANTAGES AND LIMITATIONS 237 9.6.3 STRIP GENERATION PARAMETER
238 9.6.4 VARIATIONS ON THE SINGLE PASS ALGORITHM 238 9.6.5 AN EXAMPLE
238 9.7 AGGLOMERATIVE HIERARCHICAL CLUSTERING 239 9.8 CLUSTERING BY
HISTOGRAM PEAK SELECTION 241 REFERENCES FOR CHAPTER 9 243 PROBLEMS 243
XVIII CONTENTS CHAPTER 10 * FEATURE REDUCTION 245 10.1 FEATURE REDUCTION
AND SEPARABILITY 245 10.2 SEPARABILITY MEASURES FOR MULTIVARIATE NORMAL
SPECTRAL CLASS MODELS 245 10.2.1 DISTRIBUTION OVERLAPS 245 10.2.2
DIVERGENCE 246 10.2.2.1 A GENERAL EXPRESSION 246 10.2.2.2 DIVERGENCE OF
A PAIR OF NORMAL DISTRIBUTIONS 248 10.2.2.3 USE OF DIVERGENCE FOR
FEATURE SELECTION 248 10.2.2.4 A PROBLEM WITH DIVERGENCE 249 10.2.3 THE
JEFFRIES-MATUSITA (JM) DISTANCE 250 10.2.3.1 DEFINITON 250 10.2.3.2
COMPARISON OF DIVERGENCE AND JM DISTANCE 251 10.2.4 TRANSFORMED
DIVERGENCE 251 10.2.4.1 DEFINITION 251 10.2.4.2 RELATION BETWEEN
TRANSFORMED DIVERGENCE AND PROBABILITY OF CORRECT CLASSIFICATION 252
10.2.4.3 USE OF TRANSFORMED DIVERGENCE IN CLUSTERING 253 10.3
SEPARABILITY MEASURES FOR MINIMUM DISTANCE CLASSIFICATION .... 253 10.4
FEATURE REDUCTION BY DATA TRANSFORMATION 253 10.4.1 FEATURE REDUCTION
USING THE PRINCIPAL COMPONENTS TRANSFORMATION 253 10.4.2 CANONICAL
ANALYSIS AS A FEATURE SELECTION PROCEDURE 255 10.4.2.1 WITHIN CLASS AND
AMONG CLASS COVARIANCE MATRICES 256 10.4.2.2 A SEPARABILITY MEASURE 257
10.4.2.3 THE GENERALISED EIGENVALUE EQUATION 258 10.4.2.4 AN EXAMPLE 259
10.4.3 ARITHMETIC TRANSFORMATIONS 261 REFERENCES FOR CHAPTER 10 262
PROBLEMS 262 CHAPTER 11 * IMAGE CLASSIFICATION METHODOLOGIES 265 11.1
INTRODUCTION 265 11.2 SUPERVISED CLASSIFICATION 265 11.2.1 OUTLINE 265
11.2.2 DETERMINATION OF TRAINING DATA 266 11.2.3 FEATURE SELECTION 266
11.2.4 DETECTING MULTIMODAL DISTRIBUTIONS 267 11.2.5 PRESENTATION OF
RESULTS 267 11.2.6 EFFECT OF RESAMPLING ON CLASSIFICATION 268 11.3
UNSUPERVISED CLASSIFICATION 268 11.3.1 OUTLINE, AND COMPARISON WITH
SUPERVISED METHODS 268 CONTENTS 1 1 1 1 1 1 1 1 1 1 1.3.2 1.4 1.4.1
1.4.2 1.4.3 1.5 1.6 1.6.1 1.6.2 1.6.3 1.6.4 1.6.5 1.6.6 1.6.7 1.7 1.7.1
1.7.2 1.7.3 1.7.4 1.7.5 1.7.6 XIX FEATURE SELECTION 270 A HYBRID
SUPERVISED/UNSUPERVISED METHODOLOGY 270 THE ESSENTIAL STEPS 270 CHOICE
OF THE CLUSTERING REGIONS 271 RATIONALISATION OF THE NUMBER OF SPECTRAL
CLASSES 271 ASSESSMENT OF CLASSIFICATION ACCURACY 271 CASE STUDY 1:
IRRIGATED AREA DETERMINATION 276 BACKGROUND 276 THE CSIRO-ORSER IMAGE
ANALYSIS SOFTWARE 276 THE STUDY REGION 276 CLUSTERING 277 SIGNATURE
GENERATION 280 CLASSIFICATION AND RESULTS 280 CONCLUDING REMARKS 280
CASE STUDY 2: MULTITEMPORAL MONITORING OF BUSH FIRES 282 BACKGROUND 282
SIMPLE ILLUSTRATION OF THE TECHNIQUE 282 THE STUDY AREA 284 REGISTRATION
284 PRINCIPAL COMPONENTS TRANSFORMATION 285 CLASSIFICATION OF PRINCIPAL
COMPONENTS IMAGERY 287 REFERENCES FOR CHAPTER 11 289 PROBLEMS 290
CHAPTER 12 * KNOWLEDGE-BASED IMAGE ANALYSIS 293 12.1 INTRODUCTION 293
12.2 KNOWLEDGE PROCESSING: EMULATING PHOTOINTERPRETATION 294 12.3
FUNDAMENTALS OF A KNOWLEDGE-BASED IMAGE ANALYSIS SYSTEM ... 295 12.3.1
STRUCTURE 295 12.3.2 REPRESENTATION OF KNOWLEDGE: RULES 296 12.3.3 THE
INFERENCE MECHANISM 297 12.4 HANDLING MULTISOURCE AND MULTISENSOR DATA
298 12.5 AN EXAMPLE 300 12.5.1 BACKGROUND 300 12.5.2 RULES AS JUSTIFIERS
FOR A LABELLING PROPOSITION 301 12.5.3 ENDORSEMENT OF A LABELLING
PROPOSITION 302 12.5.4 KNOWLEDGE BASE AND RESULTS 303 REFERENCES FOR
CHAPTER 12 305 PROBLEMS 306 APPENDIX A * SATELLITE ALTITUDES AND PERIODS
307 REFERENCES FOR APPENDIX A 308 XX CONTENTS APPENDIX B * BINARY
REPRESENTATION OF DECIMAL NUMBERS 309 APPENDIX C * ESSENTIAL RESULTS
FROM VECTOR AND MATRIX ALGEBRA 311 C.I DEFINITION OFA VECTOR AND A
MATRIX 311 C.2 PROPERTIES OF MATRICES 313 C.3 MULTIPLICATION, ADDITION
AND SUBTRACTION OF MATRICES 314 C.4 THE EIGENVALUES AND EIGENVECTORS OFA
MATRIX 314 C.5 SOME IMPORTANT MATRIX, VECTOR OPERATIONS 315 C.6 AN
ORTHOGONAL MATRIX * THE CONCEPT OF MATRIX TRANSPOSE 315 C.7
DIAGONALISATION OF A MATRIX 315 REFERENCES FOR APPENDIX C 316 APPENDIX D
* SOME FUNDAMENTAL MATERIAL FROM PROBABILITY AND STATISTICS 317 D.I
CONDITIONAL PROBABILITY 317 D.2 THE NORMAL PROBABILITY DISTRIBUTION 318
D.2.1 THE UNIVARIATE CASE 318 D.2.2 THE MULTIVARIATE CASE 318 REFERENCES
FOR APPENDIX D 319 APPENDIX E * PENALTY FUNCTION DERIVATION OF THE
MAXIMUM LIKELIHOOD DECISION RULE 321 E.I LOSS FUNCTIONS AND CONDITIONAL
AVERAGE LOSS 321 E.2 A PARTICULAR LOSS FUNCTION 322 REFERENCES FOR
APPENDIX E 323 APPENDIX F * REAL TIME IMAGE PROCESSING IN INTERACTIVE
IMAGE DISPLAY SYSTEMS .... 325 F.I INTRODUCTION 325 F.2 THE USE OF LOOK
UP TABLES 327 F.3 POINT PROCESSING: THE USE OF PIPELINES 328 F.4 THE USE
OF FEEDBACK AND FEEDBACK PROCESSING 330 F.5 NEIGHBOURHOOD OPERATIONS 331
F.6 LIMITATIONS WITH DISPLAY SUB-SYSTEM PROCESSING 332 REFERENCES FOR
APPENDIX F 333 SUBJECT INDEX 335
|
| any_adam_object | 1 |
| author | Richards, John Alan 1945- |
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| callnumber-search | G70.4 |
| callnumber-sort | G 270.4 |
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| ctrlnum | (OCoLC)27814649 (DE-599)BVBBV006615595 |
| dewey-full | 621.36/78 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.36/78 |
| dewey-search | 621.36/78 |
| dewey-sort | 3621.36 278 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik Geographie |
| edition | 2., rev. and enl. ed. |
| format | Book |
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| genre | (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV006615595 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:49:18Z |
| institution | BVB |
| isbn | 3540548408 0387548408 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-004227572 |
| oclc_num | 27814649 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-703 DE-706 DE-522 DE-83 DE-11 DE-188 |
| owner_facet | DE-355 DE-BY-UBR DE-703 DE-706 DE-522 DE-83 DE-11 DE-188 |
| physical | XX, 340 S. Ill., graph. Darst. |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| publisher | Springer |
| record_format | marc |
| spelling | Richards, John Alan 1945- Verfasser (DE-588)120671549 aut Remote sensing digital image analysis an introduction John A. Richards 2., rev. and enl. ed. Berlin u.a. Springer 1993 XX, 340 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Analyse d'images Beeldverwerking gtt Digitale technieken gtt Remote sensing gtt Traitement d'images - Techniques numériques Télédétection Image processing Digital techniques Remote sensing Fernerkundung (DE-588)4016796-3 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Fernerkundung (DE-588)4016796-3 s Bildverarbeitung (DE-588)4006684-8 s DE-604 Datenverarbeitung (DE-588)4011152-0 s 1\p DE-604 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=004227572&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Richards, John Alan 1945- Remote sensing digital image analysis an introduction Analyse d'images Beeldverwerking gtt Digitale technieken gtt Remote sensing gtt Traitement d'images - Techniques numériques Télédétection Image processing Digital techniques Remote sensing Fernerkundung (DE-588)4016796-3 gnd Datenverarbeitung (DE-588)4011152-0 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4016796-3 (DE-588)4011152-0 (DE-588)4006684-8 (DE-588)4151278-9 |
| title | Remote sensing digital image analysis an introduction |
| title_auth | Remote sensing digital image analysis an introduction |
| title_exact_search | Remote sensing digital image analysis an introduction |
| title_full | Remote sensing digital image analysis an introduction John A. Richards |
| title_fullStr | Remote sensing digital image analysis an introduction John A. Richards |
| title_full_unstemmed | Remote sensing digital image analysis an introduction John A. Richards |
| title_short | Remote sensing digital image analysis |
| title_sort | remote sensing digital image analysis an introduction |
| title_sub | an introduction |
| topic | Analyse d'images Beeldverwerking gtt Digitale technieken gtt Remote sensing gtt Traitement d'images - Techniques numériques Télédétection Image processing Digital techniques Remote sensing Fernerkundung (DE-588)4016796-3 gnd Datenverarbeitung (DE-588)4011152-0 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Analyse d'images Beeldverwerking Digitale technieken Remote sensing Traitement d'images - Techniques numériques Télédétection Image processing Digital techniques Fernerkundung Datenverarbeitung Bildverarbeitung Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=004227572&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT richardsjohnalan remotesensingdigitalimageanalysisanintroduction |