Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine Learning Methods in the Hyrcanian Forest.
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%0 Journal Article
%1 journals/remotesensing/AttarchiG14
%A Attarchi, Sara
%A Gloaguen, Richard
%D 2014
%J Remote Sensing
%K dblp
%N 5
%P 3624-3647
%T Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine Learning Methods in the Hyrcanian Forest.
%U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing6.html#AttarchiG14
%V 6
@article{journals/remotesensing/AttarchiG14,
added-at = {2019-10-19T00:00:00.000+0200},
author = {Attarchi, Sara and Gloaguen, Richard},
biburl = {https://www.bibsonomy.org/bibtex/241970682c64f544ea59378272b7a6fa3/dblp},
ee = {https://doi.org/10.3390/rs6053624},
interhash = {e81f32ed4af55faa0bc823b70e053659},
intrahash = {41970682c64f544ea59378272b7a6fa3},
journal = {Remote Sensing},
keywords = {dblp},
number = 5,
pages = {3624-3647},
timestamp = {2019-10-22T11:49:41.000+0200},
title = {Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine Learning Methods in the Hyrcanian Forest.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing6.html#AttarchiG14},
volume = 6,
year = 2014
}
