Download Hyperspectral Remote Sensing by Michael Eismann PDF

By Michael Eismann

Hyperspectral distant sensing is an rising, multidisciplinary box with diversified functions that builds at the ideas of fabric spectroscopy, radiative move, imaging spectrometry, and hyperspectral facts processing. whereas there are lots of assets that definitely hide those parts separately and concentrate on particular features of the hyperspectral distant sensing box, this ebook presents a holistic therapy that captures its multidisciplinary nature.

The content material is orientated towards the actual ideas of hyperspectral distant sensing in place of purposes of hyperspectral expertise. Readers can anticipate to complete the booklet armed with the mandatory wisdom to appreciate the large literature on hand during this expertise quarter and practice their wisdom to the certainty of fabric spectral houses, the layout of hyperspectral platforms, the research of hyperspectral imagery, and the applying of the expertise to express difficulties.

Table of Contents
1. Introduction
2. Optical Radiation and Matter
three. Atomic and Molecular Spectroscopy
four. Spectral houses of Materials
five. Remotely Sensed Spectral Radiance
6. Imaging method layout and Analysis
7. Dispersive Spectrometer layout and Analysis
eight. Fourier rework Spectrometer layout and Analysis
nine. extra Imaging Spectrometer Designs
10. Imaging Spectrometer Calibration
eleven. Atmospheric Compensation
12. Spectral information Models
thirteen. Hyperspectral snapshot Classification
14. Hyperspectral objective Detection

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Sample text

Geosci. Remote 46(1), 172–178 (2008). org/terms Chapter 2 Optical Radiation and Matter The physical basis of hyperspectral remote sensing is the presence of features in the observed spectral properties of materials that are characteristic to their chemical and physical make-up. To establish this physical basis, one must explore the interaction of optical radiation with matter to understand how material properties are expressed in radiometric observations. Since materials are composed of atoms and molecules whose physical understanding requires a quantum mechanical treatment, a full understanding of the spectroscopy of materials is derived from quantummechanical principles.

Geosci. Remote 41, 1378–1387 (2003). org/terms 34 Chapter 1 Clark, R. N. and Roush, T. , “Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications,” J. Geophys. Res. 89, 6329–6340 (1984). Clark, R. N, King, T. V. , and Swayze, G. , “Initial vegetation species and senescence/stress mapping in the San Luis Valley, Colorado, using imaging spectrometer data,” Proc. cr. gov, last accessed Sept. 2011). Corson, M. , Lucke, R. , Davis, C. , Bowles, J. , Chen, D. , Korwan, D.

3 Imaging spectrometry Imaging spectrometry refers to the art and science of designing, fabricating, evaluating, and applying instrumentation capable of simultaneously capturing spatial and spectral attributes of a scene with enough fidelity to preserve the fundamental spectral features that provide for object detection, classification, identification, and/or characterization. A variety of optical techniques can be employed to develop a sensor capable of capturing hyperspectral imagery, including dispersive prism or grating spectrometers, Michelson Fourier transform spectrometers, spatial Fourier transform spectrometers, scanning Fabry–Perot etalons, acousto-optic tunable filters, and dielectric filters.

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