POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment.
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%0 Journal Article
%1 journals/staeors/MatteoliZDC17
%A Matteoli, Stefania
%A Zotta, Laura
%A Diani, Marco
%A Corsini, Giovanni
%D 2017
%J IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing
%K dblp
%N 11
%P 5110-5133
%T POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment.
%U http://dblp.uni-trier.de/db/journals/staeors/staeors10.html#MatteoliZDC17
%V 10
@article{journals/staeors/MatteoliZDC17,
added-at = {2019-09-16T00:00:00.000+0200},
author = {Matteoli, Stefania and Zotta, Laura and Diani, Marco and Corsini, Giovanni},
biburl = {https://www.bibsonomy.org/bibtex/28acc9b43312888a3314d4026d1058366/dblp},
ee = {https://doi.org/10.1109/JSTARS.2017.2737645},
interhash = {1acc8b5a255624302e7d0ae964ca36ea},
intrahash = {8acc9b43312888a3314d4026d1058366},
journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
keywords = {dblp},
number = 11,
pages = {5110-5133},
timestamp = {2019-09-17T11:54:33.000+0200},
title = {POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment.},
url = {http://dblp.uni-trier.de/db/journals/staeors/staeors10.html#MatteoliZDC17},
volume = 10,
year = 2017
}