@article{487637,
      author = {Chang, Chein-I. and Chang, Chein-I.},
      url = {http://library.usi.edu/record/487637},
      title = {Hyperspectral data processing algorithm design and  analysis / [electronic resource] :},
      publisher = {Wiley-Interscience,},
      abstract = {"This book is intended to be a sequel from the author's  other title with Kluwer "Hyperspectral Imaging: Techniques  for Spectral Detection and Classification". It contains  five major parts. Part I is new aspects of OSP including 7  chapters, OSP revisit, generalized OSP, FPGA designs for  OSP and CEM, Kalman filter-based linear unmixing, least  squares fully constrained linear mixture analysis,  exploitation-based hyperspectral data compression and size  estimation of supixel targets, Part II is interference  rejection for linear unmixing composed of three chapters,  signal-composed interference-annihilated theory,  interference-annihilated noise-adjusted theory and  information-processed matched filter theory; Part III is  nonlinear non-literal techniques for linear unmixing  consisting of 3 chapters, convex cone analysis, information  theoretic criterion-based project pursuit and nonlinear  mixing model analysis; Part IV is spectral coding  comprising of three chapters, progressive spectral coding,  spectral binary coding and spectral coding for band  selection; Part V is applications made up of two chapters,  applications to magnetic resonance imaging and landmine  detection"--},
      recid = {487637},
      pages = {xxvii, 1135 p. :},
      address = {Hoboken, N.J. :},
      year = {2013},
}