LEADER 05252nam 22006255 450 001 9910254321503321 005 20250609110127.0 010 $a3-319-45171-5 024 7 $a10.1007/978-3-319-45171-8 035 $a(CKB)3710000001178140 035 $a(DE-He213)978-3-319-45171-8 035 $a(MiAaPQ)EBC4845760 035 $a(PPN)200514113 035 $a(MiAaPQ)EBC6231845 035 $a(EXLCZ)993710000001178140 100 $a20170424d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReal-Time Recursive Hyperspectral Sample and Band Processing $eAlgorithm Architecture and Implementation /$fby Chein-I Chang 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXIII, 690 p. 293 illus., 233 illus. in color.) 311 08$a3-319-45170-7 320 $aIncludes bibliographical references and index. 327 $aOverview 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. 330 $aThis 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. 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aOptical data processing 606 $aPattern perception 606 $aBiometry 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aOptical data processing. 615 0$aPattern perception. 615 0$aBiometry. 615 14$aSignal, Image and Speech Processing. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aBiometrics. 676 $a621.382 700 $aChang$b Chein-I$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763028 906 $aBOOK 912 $a9910254321503321 996 $aReal-Time Recursive Hyperspectral Sample and Band Processing$92088779 997 $aUNINA