Dimitris G. Manolakis is a senior member of technical staff at the Lincoln Laboratory, Massachusetts Institute of Technology. He is the co-author of Applied Digital Signal Processing (Cambridge, 2011), and has taught at various institutions including Northeastern University, Boston, Boston College, Massachusetts, and Worcester Polytechnic Institute, Massachusetts. He is an IEEE Fellow, and in 2013 he received the IEEE Signal Processing Society Education Award.
Inhaltsangabe
1. Introduction 2. The remote sensing environment 3. Spectral properties of materials 4. Imaging spectrometers 5. Imaging spectrometer characterization and data calibration 6. Radiative transfer and atmospheric compensation 7. Statistical models for spectral data 8. Linear spectral transformations 9. Spectral mixture analysis 10. Signal detection theory 11. Hyperspectral data exploitation Appendix. Introduction to Gaussian optics.
1. Introduction 2. The remote sensing environment 3. Spectral properties of materials 4. Imaging spectrometers 5. Imaging spectrometer characterization and data calibration 6. Radiative transfer and atmospheric compensation 7. Statistical models for spectral data 8. Linear spectral transformations 9. Spectral mixture analysis 10. Signal detection theory 11. Hyperspectral data exploitation Appendix. Introduction to Gaussian optics.
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