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Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy

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Abstract
The twenty six papers in this special issue focus on the technologies of hyperspectral remote sensing (HRS)and imaging spectroscopy. HRS has emerged as a powerful tool to understand phenomena at local and global scales by virtue of imaging through a diverse range of platforms, including terrestrial in-situ imaging platforms, unmanned and manned aerial vehicles, and satellite platforms. By virtue of imaging over a wide range of spectral wavelengths, it is possible to characterize object specific properties very accurately. As a result, hyperspectral imaging (also known as imaging spectroscopy) has gained popularity for a wide variety of applications, including environment monitoring, precision agriculture, mineralogy, forestry, urban planning, and defense applications. The increased analysis capability comes at a cost—there are a variety of challenges that must be overcome for robust image analysis of such data, including high dimensionality, limited sample size for training supervised models, noise and atmospheric affects, mixed pixels, etc. The papers in this issue represent some of the recent developments in image analysis algorithms and unique applications of hyperspectral imaging data.
Keywords
Special issues and sections, Hyperspectral imaging, Image analysis, Data integration, Remote sensing, Compressed sensing, Image classification

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MLA
Prasad, Saurabh , Wenzhi Liao, Mingyi He, et al. “Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy.” IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2018 : 1019–1021. Print.
APA
Prasad, S., Liao, W., He, M., & Chanussot, J. (2018). Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. IEEE.
Chicago author-date
Prasad, Saurabh , Wenzhi Liao, Mingyi He, and Jocelyn Chanussot. 2018. “Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE.
Chicago author-date (all authors)
Prasad, Saurabh , Wenzhi Liao, Mingyi He, and Jocelyn Chanussot. 2018. “Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE.
Vancouver
1.
Prasad S, Liao W, He M, Chanussot J. Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. IEEE; 2018. p. 1019–21.
IEEE
[1]
S. Prasad, W. Liao, M. He, and J. Chanussot, “Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy,” IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 11, no. 4. IEEE, pp. 1019–1021, 2018.
@misc{8559409,
  abstract     = {The twenty six papers in this special issue focus on the technologies of hyperspectral remote sensing (HRS)and imaging spectroscopy. HRS has emerged as a powerful tool to understand phenomena at local and global scales by virtue of imaging through a diverse range of platforms, including terrestrial in-situ imaging platforms, unmanned and manned aerial vehicles, and satellite platforms. By virtue of imaging over a wide range of spectral wavelengths, it is possible to characterize object specific properties very accurately. As a result, hyperspectral imaging (also known as imaging spectroscopy) has gained popularity for a wide variety of applications, including environment monitoring, precision agriculture, mineralogy, forestry, urban planning, and defense applications. The increased analysis capability comes at a cost—there are a variety of challenges that must be overcome for robust image analysis of such data, including high dimensionality, limited sample size for training supervised models, noise and atmospheric affects, mixed pixels, etc. The papers in this issue represent some of the recent developments in image analysis algorithms and unique applications of hyperspectral imaging data.},
  author       = {Prasad, Saurabh  and Liao, Wenzhi and He, Mingyi  and Chanussot, Jocelyn },
  issn         = {1939-1404 },
  keywords     = {Special issues and sections,Hyperspectral imaging,Image analysis,Data integration,Remote sensing,Compressed sensing,Image classification},
  language     = {eng},
  number       = {4},
  pages        = {1019--1021},
  series       = {IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING},
  title        = {Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy},
  url          = {http://dx.doi.org/10.1109/JSTARS.2018.2820938},
  volume       = {11},
  year         = {2018},
}

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