DocumentCode :
1952612
Title :
Classification of objects by radar remote sensing
Author :
Ligthart, L.P. ; Logvin, A.I. ; Kozlov, A.I.
Author_Institution :
IRCTR, Delft Univ. of Technol., Netherlands
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
159
Abstract :
At present radar object classification by means of radar remote sensing making use of the appropriate received information is widely based on the Bayesian approach. However, this does not take into account that certain parameters (attributes) of sensed objects (and derived from measured data) have a certain degree of uncertainty. This uncertainty consideration necessitates a modification in the Bayesian approach. This modified variant of the Bayesian approach to be used for classification of sensed radar objects is described in this paper.
Keywords :
Bayes methods; image classification; radar imaging; radar theory; remote sensing by radar; uncertain systems; modified Bayesian approach; radar object classification; radar remote sensing; uncertainty; Bayesian methods; Earth; Equations; Error correction; Error probability; Probability density function; Radar remote sensing; Remote sensing; Uncertainty; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Radar and Wireless Communications, 2002. MIKON-2002. 14th International Conference on
Print_ISBN :
83-906662-5-1
Type :
conf
DOI :
10.1109/MIKON.2002.1017825
Filename :
1017825
Link To Document :
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