Compressive Sensing for Reconstruction, Classification, and Detection of Hyperspectral Images

Authored by: Bing Zhang , Wei Li , Lianru Gao , Xu Sun

Compressive Sensing of Earth Observations

Print publication date:  June  2017
Online publication date:  May  2017

Print ISBN: 9781498774376
eBook ISBN: 9781315154626
Adobe ISBN:

10.1201/9781315154626-12

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Abstract

Hyperspectral imagery (HSI) acquired by remote-sensing systems (e.g., a spaceborne or an airborne sensor) typically records reflectance values over a wide region of the electromagnetic spectrum [1,2]. Each pixel in an HSI represents many contiguous and narrow spectral bands (e.g., a spectral range of 0.4 to 2.4 μm). This enables HSI to potentially provide rich information about the materials in the image scene. HSI has become a widely available modality used in a wide variety of applications, including urban-growth analysis, biological and chemical detection, environmental monitoring, mineral exploration, etc.

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