عنوان

Hyperspectral data processing :

شابک

1118269772

شابک

1118269780 (electronic bk.)

شابک

1299241867 (MyiLibrary)

شابک

9781118269770

شابک

9781118269787 (electronic bk.)

شابک

9781299241862 (MyiLibrary)

شابک اشتباه

0471690562 (hbk.)

شابک اشتباه

9780471690566 (hbk.)

شماره

dltt

عنوان اصلي

Hyperspectral data processing :

نام عام مواد

[Book]

ساير اطلاعات عنواني

algorithm design and analysis /

نام نخستين پديدآور

Chein-I Chang

نام خاص و کميت اثر

1 online resource (xxvii, 1135 pages) :

ساير جزييات

illustrations (some color)

متن يادداشت

Includes bibliographical references (pages 1052-1069) and index

متن يادداشت

1 Overview and introduction -- 2 Fundamentals of subsample and mixed sample analyses -- 3 Three-dimentsional receiver operating characteristics (3D ROC) analysis -- 4 Design of synthetic image experiments -- 5 Virtual dimensionality of hyperspectral data -- 6 Data dimensionality reduction -- 7 Simultaneous endmember extraction algorithms (SM-EEAs) -- 8 Sequential endmember extraction algorithms (SQ-EEAs) -- 9 Initialization-driven endmember extraction algorithms (ID-EEAs) -- 10 Random endmember extraction algorithms (REEAs) -- 11 Exploration on relationships among endmember extraction algorithms -- 12 Orthogonal subspace projection revisited -- 13 Fisher's linear spectral mixture analysis -- 14 Weighted abundance-constrained linear spectral mixture analysis -- 15 Kernel-based linear spectral mixture analysis -- 16 Hyperspectral measures -- 17 Unsupervised linear hyperspectral mixture analyis -- 18 Pixel extraction and information

متن يادداشت

19 Exploitation-based hyperspectral data compression -- 20 Progressive spectral dimensionality process -- 21 Progressive band dimentsionality process -- 22 Dynamic dimensionality allocation -- 23 Progressive band selection -- 24 Binary coding for spectral signatures -- 25 Vector coding for hyperspectral signatures -- 26 Progressive coding for spectral signatures -- 27 Variable-number variable-band selection for hyperspectral signals -- 28 Kalman filter-based estimation for hyperspectral signals -- 29 Wavelet representation for hyperspectral signals -- 30 Application fof target detection -- 31 Nonlinear dimensionality expansion to multispectral imagery -- 32 Multispectral magetics resonance imaging -- 33 Conclusions

بدون عنوان

0

بدون عنوان

0

متن يادداشت

"Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author's first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap ... Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject."--

منبع سفارش / آدرس اشتراک

Wiley InterScience

شماره انبار

10.1002/9781118269787

شماره استاندارد بين المللي کتاب و موسيقي

0471690562

موضوع مستند نشده

High performance computing.

موضوع مستند نشده

Image processing-- Digital techniques.

موضوع مستند نشده

Multispectral imaging.

موضوع مستند نشده

Remote sensing.

موضوع مستند نشده

Spectroscopic imaging.

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Chang, Chein-I.

مستند نام تنالگان تاييد نشده

Ohio Library and Information Network.

تاريخ عمليات

20130802021417.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y