Processing and Analysis of Hyperspectral Data

Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food an...

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Bibliographic Details
Main Author: Chen, Jie
Other Authors: Song, Yingying, Li, Hengchao
Format: eBook
Language:English
Published: IntechOpen 2020
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
Physical Description:1 electronic resource (136 p.)
ISBN:9781789851090
9781838804626
intechopen.78179
9781789851106