Simultaneous Estimation of Geophysical Parameters with Microwave Radiometer Data based on Accelerated Simulated Annealing: SA
K. Arai. International Journal of Advanced Computer Science and Applications(IJACSA), (2012)
Abstract
Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely related each other. Therefore simultaneous estimation makes constraints in accordance with the relations. On the other hand, SA requires huge computer resources for convergence. In order to accelerate convergence process, oscillated decreasing function is proposed for cool down function. Experimental results show that remarkable improvements are observed for geophysical parameter estimations.
%0 Journal Article
%1 IJACSA.2012.030712
%A Arai, Kohei
%D 2012
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K air-temperature; annealing; microwave radiometer simulated speed. vapor; water wind
%N 7
%T Simultaneous Estimation of Geophysical Parameters with Microwave Radiometer Data based on Accelerated Simulated Annealing: SA
%U http://ijacsa.thesai.org/
%V 3
%X Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely related each other. Therefore simultaneous estimation makes constraints in accordance with the relations. On the other hand, SA requires huge computer resources for convergence. In order to accelerate convergence process, oscillated decreasing function is proposed for cool down function. Experimental results show that remarkable improvements are observed for geophysical parameter estimations.
@article{IJACSA.2012.030712,
abstract = {Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely related each other. Therefore simultaneous estimation makes constraints in accordance with the relations. On the other hand, SA requires huge computer resources for convergence. In order to accelerate convergence process, oscillated decreasing function is proposed for cool down function. Experimental results show that remarkable improvements are observed for geophysical parameter estimations.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {Arai, Kohei},
biburl = {https://www.bibsonomy.org/bibtex/216fb76445032e25e088e9de5e49a925d/thesaiorg},
interhash = {49f155ef1b850f09098d888b02d0ad29},
intrahash = {16fb76445032e25e088e9de5e49a925d},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {air-temperature; annealing; microwave radiometer simulated speed. vapor; water wind},
number = 7,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Simultaneous Estimation of Geophysical Parameters with Microwave Radiometer Data based on Accelerated Simulated Annealing: SA}},
url = {http://ijacsa.thesai.org/},
volume = 3,
year = 2012
}