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%0 Conference Paper
%1 conf/igarss/ChaudhriRSS19a
%A Chaudhri, S. N.
%A Rajput, N. S.
%A Singh, K. P.
%A Singh, D.
%B IGARSS
%D 2019
%I IEEE
%K dblp
%P 5820-5823
%T Maximum Membership Fraction Based Pure Pixel Assessment Approach for Hyperspectral Data Analysis Using Deep Learning.
%U http://dblp.uni-trier.de/db/conf/igarss/igarss2019.html#ChaudhriRSS19a
%@ 978-1-5386-9154-0
@inproceedings{conf/igarss/ChaudhriRSS19a,
added-at = {2019-11-21T00:00:00.000+0100},
author = {Chaudhri, S. N. and Rajput, N. S. and Singh, K. P. and Singh, D.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26345dfd02ef423aae6030d3a44d84ccf/dblp},
booktitle = {IGARSS},
crossref = {conf/igarss/2019},
ee = {https://doi.org/10.1109/IGARSS.2019.8898389},
interhash = {c6699834a87a0c3cbc98f3199ed895b6},
intrahash = {6345dfd02ef423aae6030d3a44d84ccf},
isbn = {978-1-5386-9154-0},
keywords = {dblp},
pages = {5820-5823},
publisher = {IEEE},
timestamp = {2019-11-26T08:09:48.000+0100},
title = {Maximum Membership Fraction Based Pure Pixel Assessment Approach for Hyperspectral Data Analysis Using Deep Learning.},
url = {http://dblp.uni-trier.de/db/conf/igarss/igarss2019.html#ChaudhriRSS19a},
year = 2019
}
