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...

Full description

Saved in:
Bibliographic Details
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
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/RSIP.2017.7970774