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Landgrebe D.A. — Signal Theory Methods in Multispectral Remote Sensing
Landgrebe D.A. — Signal Theory Methods in Multispectral Remote Sensing

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Название: Signal Theory Methods in Multispectral Remote Sensing

Автор: Landgrebe D.A.

Аннотация:

A textbook for graduate students of electrical and computer engineering, civil engineering, agronomy, forestry, agricultural engineering, and related fields. The focus is on analyzing multispectral and hyperspectral data optimally. Several pages of color graphics are included. The disk contains a software system compatible with Macintosh and Windows, and several example data sets.


Язык: en

Рубрика: Технология/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: 1st edition

Год издания: 2003

Количество страниц: 508

Добавлена в каталог: 16.11.2009

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Accuracy matrix      180
Adjacency effect      47
Analog to digital conversion      74
Analysis examples, agriculture      328
Analysis examples, analysis factors      363
Analysis examples, geology      347
Analysis examples, urban area      360
Aperture stop      52
AVIRIS      88
Bayes's theorem      110
Bi-directional reflectance      55
Bi-directional reflectance distribution function      54
Bi-directional reflectance factor      56
Binomial coefficient      280
Black body      34
Boundary finding      398
Boundary finding and classification (BOFIAC)      402
Central limit theorem      115
Chi-squared distribution      129
Clouds      49
Clustering      163
Confusion matrix      180
Constrained energy minimization      127
Correlation classifier      126
Covariance estimator      222
Cutoff wavelength      59
D*      61
Data analysis paradigm      323
Decision Boundary Feature Extraction (DBFE)      289
Decision Tree Classifier      372
Discriminant Analysis Feature Extraction (DAFE)      287
Discriminantly informative features      291
Discriminantly redundant features      290
Discriminate functions      100
Distortion removal      454
Divergence      149
Dwell time      452
Dynamic range      75
ECHO classifier      404
Effective decision boundary      292
Electromagnetic spectrum      13
EM algorithm      200
Emissivity      39
Emittance      39
Expectation maximization      200
Expected loss      114
f/D ratio      52
Feature selection      278
Feature space      18 97
Field stop      52
First order statistic      26 141
Fisher's linear discriminant      121
Focal length      51
FOV      67
Fundamental parameters      14 68
Gaussian probability density      107
Geometric preprocessing      454
Geometric registration      460
Goniometric effects      466
Grating      65
Gray body      39
Hughes effect      132
Hyperspectral example      334
Hyperspectral sensors      88
IFOV      67
Image space      18
Imaging spectrometer      88
Instantaneous Field of View or IFOV      67
Interference filtrer      65
Isodata method      166
Iterated training      369
Kappa statistic      181
Lambertian surface      54
Law of conservation of energy      35
Leave one out method      147
Lidar      32
Likelihood map      189
MAP classifier      111
Matched filter      127
Maximum likelihood classifier      110
Meteorological range      43
microwave      13
Mie scattering      See "Scattering"
Minimum a posteriori error strategy      111
Minimum risk strategy      111
Misregistration      245
MSS      84
Multispectral concept      14
NASA      3
National Research Council      4
Neural networks      102
Noise      419
Noise model      424
Noise-equivalent power      60
nonparametric methods      124
Nonparametric weighted feature extraction (NWFE)      310
Nonselective scattering      See "Scattering"
Normalized difference vegetative index (NDVI)      274
Object finding      400
Optical      13
Optical stops      50
Path radiance      43
Pattern recognition      93
Per field classifier      396
Photoconductive      61
Photomultipliers      63
Photon detectors      58
Photovoltaic      61
Planck's radiation law      35
Preprocessing      443
Principal components      281
prism      64
Probability map      189
Producer's accuracy      180
Projection pursuit      314
Quadratic (Gaussian) classifier      122
Quantization noise      425
Radar      32
Radiometric calibration      444
Radiometric terminology      33
Rayleigh scattering      See "Scattering"
Reliability accuracy      180
Responsivity      58
Resubstitution method      146
Robust statistics enhancement      210
S/N      68
Sample classification      407
Sample classifier      393
Scan angle effects      77
Scan time effect      77
Scattering      40
Scene segmentation      404
Second order statistic      26 141
Shot noise      425
Signal-to-noise ratio      419
Sky radiance      46
Solid angle measure      34
Spatial gray tone dependence matrices      382
Spectral Angle Mapper      126
Spectral space      18 97
Speed (of a lens)      52
Sputnik      3
Statistical distance measures      156
Statistics Enhancement      198
Statistics images      240
Stefan — Boltzmann radiation law      38
Steradians      34
Sun angle effects      77
Systematic distortion      453
Tasseled Cap      275
Texture measures      381
Thematic map      16
Thematic mapper      15 86
Thermal detectors      58
Thermal noise      425
Thresholding      128
TIROS      3
Topographic effects      77
Transmittance      43
Unsupervised classification      163
User's accuracy      180
Visibility      43
Volume of a hypercube      247
Volume of a hypersphere      247
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