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1 Ergebnisse
1
Maximum Membership Fraction Based Pure Pixel Assessment App..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
Chaudhri, S. N.
;
Rajput, N. S.
;
Singh, K. P.
. - p. 5820-5823 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8898389
RT T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Maximum Membership Fraction Based Pure Pixel Assessment Approach for Hyperspectral Data Analysis Using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8898389&Exemplar=1&LAN=DE A1 Chaudhri, S. N. A1 Rajput, N. S. A1 Singh, K. P. A1 Singh, D. YR 2019 SN 2153-7003 K1 Hyperspectral imaging K1 Principal component analysis K1 Roads K1 Convolutional neural networks K1 Soil K1 Vegetation K1 Maximum Membership Fraction (MMF) K1 Convolutional Neural Network (CNN) K1 Abundance SP 5820 OP 5823 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8898389 DO https://doi.org/10.1109/IGARSS.2019.8898389 SF ELIB - SuUB Bremen
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