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Hyperspectral Imaging

Chein-I Chang
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      Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.
      Format: CONTRIBUTORS: Chein-I Chang EAN: 9780306474835 COUNTRY: United States PAGES: WEIGHT: 1610 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Science+Business Media DATE PUBLISHED: 2003-07-31 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, MEDICAL / Biochemistry, SCIENCE / Environmental Science, SCIENCE / Earth Sciences / Meteorology & Climatology, TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems WIDTH: 155 cm SPINE:

      Book Themes:

      Medical imaging, Environmental chemistry, Meteorology and climatology, Geographical information systems, geodata and remote sensing, Computer vision

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      Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.
      Format: CONTRIBUTORS: Chein-I Chang EAN: 9780306474835 COUNTRY: United States PAGES: WEIGHT: 1610 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Science+Business Media DATE PUBLISHED: 2003-07-31 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, MEDICAL / Biochemistry, SCIENCE / Environmental Science, SCIENCE / Earth Sciences / Meteorology & Climatology, TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems WIDTH: 155 cm SPINE:

      Book Themes:

      Medical imaging, Environmental chemistry, Meteorology and climatology, Geographical information systems, geodata and remote sensing, Computer vision

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