Real-Time Recursive Hyperspectral Sample and Band Processing (Record no. 81076)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04876nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-45171-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801222720.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170424s2017 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319451718 |
| -- | 978-3-319-45171-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.382 |
| 100 1# - AUTHOR NAME | |
| Author | Chang, Chein-I. |
| 245 10 - TITLE STATEMENT | |
| Title | Real-Time Recursive Hyperspectral Sample and Band Processing |
| Sub Title | Algorithm Architecture and Implementation / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXIII, 690 p. 293 illus., 233 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Overview and Introduction -- PART I: Fundamentals -- Simplex Volume Calculation -- Discrete Time Kalman Filtering in Hyperspectral Data Prcoessing -- Target-Specified Virtual Dimesnionality -- PART II: Sample Spectral Statistics-Based Recursive Hyperspectral Sample Prcoessing -- Real Time Recursive Hyperspectral Sample Processing of Constrained Energy Minimization -- Real Time Recursive Hyperspectral Sample Processing of Anomaly Detection -- PART III: Signature Spectral Statistics-Based Recursive Hyperspectral Sample Prcoessing -- Recursive Hyperspectral Sample Processing of Automatic Target Generation Process -- Recursive Hyperspectral Sample Processing of Orthogonal Subspace Projection -- Recursive Hyperspectral Sample Processing of Linear Spectral Mixture Analysis -- Recursive Hyperspectral Sample Processing of Maximimal Likelihood Estimation -- Recursive Hyperspectral Sample Processing of Orthogonal Projection-Based Simplex Growing Algorithm -- Recursive Hyperspectral Sample Processing of Geometric Simplex Growing Simplex Algorithm -- PART IV: Sample Spectral Statistics-Based Recursive Hyperspectral Band Prcoessing -- Recursive Hyperspectral Band Processing of Constrained Energy Minimization -- Recursive Hyperspectral Band Processing of Anomly Detection -- Signature Spectral Statistics-Based Recursive Hyperspectral Band Prcoessing -- Recursive Hyperspectral Band Processing of Automatic Target Generation Process -- Recursive Hyperspectral Band Processing of Orthogonal Subspce Projection -- Recursive Hyperspectral Band Processing of Linear Spectral Mixture Analysis -- Recursive Hyperspectral Band Processing of Growing Simplex Volume Analysis -- Recursive Hyperspectral Band Processing of Iterative Pixel Puirty Index -- Recursive Hyperspectral Band Processing of Fast Iterative Pixel Purity Index -- Conclusions -- Glossary -- Appendix A -- References -- Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author’s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016. Explores recursive structures in algorithm architecture Implements algorithmic recursive architecture in conjunction with progressive sample and band processing Derives Recursive Hyperspectral Sample Processing (RHSP) techniques according to Band-Interleaved Sample/Pixel (BIS/BIP) acquisition format Develops Recursive Hyperspectral Band Processing (RHBP) techniques according to Band SeQuential (BSQ) acquisition format for hyperspectral data. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-45171-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2017. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Pattern recognition systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biometric identification. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Speech and Image Processing . |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automated Pattern Recognition. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biometrics. |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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