Hyperspectral data processing : algorithm design and analysis /

• Κύριος συγγραφέας: Chang, Chein-I
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, NJ : John Wiley & Sons, Inc., 2013.
• Θέματα: Remote sensing.; Spectroscopic imaging.; Multispectral imaging.; High performance computing.; Image processing > Digital techniques.; Image processing > Statistics.; Signal processing.; TECHNOLOGY & ENGINEERING > Imaging Systems.; COMPUTERS > Computer Engineering.; COMPUTERS > Hardware > General.; COMPUTERS > Machine Theory.; Electronic books.

 "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."--   Provided by publisher. 

 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.