Efficient solution of large-scale domestic hyperspectral data processing and geological application

As we have entered an era of information, the RS data are undergoing a plosive growth. The needs of large-scale earth observation have led to the development of high-resolution and high-dimensionality RS data, which has posed significant challenges in processing and application. In this paper, we de...

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Published in2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP) pp. 1 - 4
Main Authors Junchuan Yu, Bokun Yan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2017
Subjects
alteration anomaly
Atmospheric modeling
big data
brdf
hyperspectral data
Hyperspectral imaging
Minerals
remote sensing
Satellites
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Abstract As we have entered an era of information, the RS data are undergoing a plosive growth. The needs of large-scale earth observation have led to the development of high-resolution and high-dimensionality RS data, which has posed significant challenges in processing and application. In this paper, we demonstrate some possible solution of large-scale domestic hyperspectral data processing and geological application, mainly from three aspects.
AbstractList As we have entered an era of information, the RS data are undergoing a plosive growth. The needs of large-scale earth observation have led to the development of high-resolution and high-dimensionality RS data, which has posed significant challenges in processing and application. In this paper, we demonstrate some possible solution of large-scale domestic hyperspectral data processing and geological application, mainly from three aspects.
Author Junchuan Yu
Bokun Yan
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  surname: Bokun Yan
  fullname: Bokun Yan
  email: bokun.yan@aliyun.com
  organization: China Aero Geophys. Survey & Remote Sensing Center for Land & Resources, Beijing, China
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SubjectTerms alteration anomaly
Atmospheric modeling
big data
brdf
hyperspectral data
Hyperspectral imaging
Minerals
remote sensing
Satellites
Title Efficient solution of large-scale domestic hyperspectral data processing and geological application
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